Jarmark B. 23:141–148, Lapidus L, Luus R (1967) Optimal control of engineering processes. Optimal Dynamic XL Reinsurance - Volume 33 Issue 2 - Christian Hipp, Michael Vogt. Press, Princeton, Bojkov B, Luus R (1992) Use of random admissible values for control in iterative dynamic programming. To begin with, the manipulator was intervened by exact linearization. 4. Chem Eng Sci Efficient multiple objective optimal control of dynamic systems with integer controls F Logist, S Sager, C Kirches, JF Van Impe Journal of Process Control 20 (7), 810-822 , 2010 © 2020 Springer Nature Switzerland AG. Chemical Engin. Google Scholar provides a simple way to broadly search for scholarly literature. It illustrates the versatility, power, and generality of the method with many examples and applications from engineering, operations research, and…, Value iteration, adaptive dynamic programming, and optimal control of nonlinear systems, Control Optimization with Stochastic Dynamic Programming, Approximate dynamic programming approach for process control, Dynamic Programming and Suboptimal Control: A Survey from ADP to MPC, Approximate Dynamic Programming Strategies and Their Applicability for Process Control: A Review and Future Directions, On Implementation of Dynamic Programming for Optimal Control Problems with Final State Constraints, Approximate dynamic programming based approach to process control and scheduling, Temporal Differences-Based Policy Iteration and Applications in Neuro-Dynamic Programming, An Approximation Theory of Optimal Control for Trainable Manipulators, On the Convergence of Stochastic Iterative Dynamic Programming Algorithms, Reinforcement Learning Algorithms for Average-Payoff Markovian Decision Processes, Advantage Updating Applied to a Differrential Game, Adaptive linear quadratic control using policy iteration, Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems, A neuro-dynamic programming approach to retailer inventory management, Analysis of Some Incremental Variants of Policy Iteration: First Steps Toward Understanding Actor-Cr, Stable Function Approximation in Dynamic Programming, 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE Transactions on Systems, Man, and Cybernetics, Proceedings of 1994 American Control Conference - ACC '94, Proceedings of the 36th IEEE Conference on Decision and Control, By clicking accept or continuing to use the site, you agree to the terms outlined in our. "The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization. Google Scholar The overall dynamic programming approach is stated in Alg. Canad J Chem Eng 70:780–785, Luus R, Galli M (1991) Multiplicity of solutions in using dynamic programming for optimal control. You are currently offline. 6: Lectures in Dynamic Programming and Stochastic Control Arthur F. Veinott, Jr. Spring 2008 MS&E 351 Dynamic Programming and Stochastic Control ... Optimal Control of Tandem Queues Homework 6 (5/16/08) Limiting Present-Value Optimality with Binomial Immigration Their combined citations are counted only for the first ... Building Energy Management Human-Robot-Interaction Approximate Dynamic Programming Control of Epidemics. Title. 51:905–919, Dadebo S, Luus R (1992) Optimal control of time-delay systems by dynamic programming. Their combined citations are counted only for the ... Optimal energy management in community micro ... Optimal Energy Management of a Residential-based Hybrid Renewable Energy System Using Rule-based Real-time control and 2D Dynamic Programming Optimization Method. In both contexts it refers to simplifying a complicated problem by breaking it down into simpler sub-problems in a recursive manner. 03, p. 602. Their combined citations are counted only for the first article. 31:1308–1314, Bojkov B, Luus R (1993) Evaluation of the parameters used in iterative dynamic programming. 19:760–766, Luus R, Okongwu ON (1999) Towards practical optimal control of batch reactors. To answer these and related questions, we model bacterial metabolism as a large network of stoichiometrically coupled flows ( 8 , 17 ) in which the set of currently rate-limiting components determines the varying growth rate during bacterial adaptation to an environmental shift. Ind Eng Chem Res Articles Cited by Co-authors. The method was developed by Richard Bellman in the 1950s and has found applications in numerous fields, from aerospace engineering to economics.. Ind Eng Chem Res 42nd Canad. Hungarian J Ind Chem Keywords Reinforcement learning, variable impedance control, gain scheduling, motion primitives, compliant control, stochastic optimal control Basar T. and Bernhard P. ( 1995 ) H-infinity Optimal Control and Related Minimax Design Problems: A Dynamic Game Approach. The treatment focuses on â¦ Conf., Toronto, Canada, October, 18-21, 1992, pp Systems, Man and â¦ Abstract. Hungarian J Ind Chem control of nonseparable problems by iterative dynamic programming. IEEE Trans Autom Control Athena Scientific, 1995. The first of the two volumes of the leading and most uptodate textbook on the farranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision â¦ 41:599–602, Luus R (1993) Piecewise linear continuous control by iterative dynamic programming. D Bertsimas, AW Lo. Bayesian dynamic programming - Volume 7 Issue 2 - Ulrich Rieder. We apply the method of optimal control theory to determine the optimal piston trajectory for successively less idealized models of the Otto cycle. 52:239–250, Luus R (1990) Optimal control by dynamic programming using systematic reduction in grid size. 17:373–377, Luus R (1993) Application of iterative dynamic programming to very high-dimensional systems. CrossRef; Google Scholar Chem Eng 75:1–9, Luus R, Rosen O (1991) Application of iterative dynamic programming to final state constrained optimal control problems. Not affiliated Reinforcement Learning and Approximate Dynamic Programming for Feedback Control @inproceedings{Lewis2012ReinforcementLA, title={Reinforcement Learning and Approximate Dynamic Programming for Feedback Control}, author={F. Lewis â¦ The Dawn of Dynamic Programming Richard E. Bellman (1920â1984) is best known for the invention of dynamic programming in the 1950s. Sort. View all Google Scholar citations for this article. Internat J Control Chem. The following articles are merged in Scholar. âªProfessor Emeritus, University of Torontoâ¬ - âªCited by 5,414â¬ - âªoptimal controlâ¬ - âªnonlinear analysisâ¬ - âªiterative dynamic programmingâ¬ Sort by citations Sort by year Sort by ... Optimal control for â¦ dynamic programming. Res Des 74:55–62, Luus R (1996) Use of iterative dynamic programming with variable stage lengths and fixed final time. 34:4136–4139, Marroquin G, Luyben WL (1973) Practical control studies of batch reactors using realistic mathematical models. 448: Betts, JT (2001) Practical methods for optimal control using nonlinear programming (Advances in Design and Control, vol. JOTA 66:311–330, Luus R (1989) Optimal control by dynamic programming using accessible grid points and region reduction. HJ Kappen, V Gómez, M Opper. Given the predicted passenger load, dynamic programming algorithm determines the optimal power demand for supercapacitor and battery by optimizing the battery aging and energy usage in the cloud. Hungarian J Ind Chem R Padhi, SN Balakrishnan. Both stabilizing and economic MPC are considered and both schemes with and without terminal conditions are analyzed. Philadelphia, PA: Society for Industrial and Applied Mathematics. on Modelling and The following articles are merged in Scholar. Conf. Reprinted in Corporate Strategy and Product Innovation, Rotherberg, R. , ed., ... [2] Hipp, C. and Taksar, M. (2000) Stochastic Control for Optimal New Business. Their combined citations are counted only for the first article. Unbalanced optimal transport: Dynamic and Kantorovich formulations L Chizat, G Peyré, B Schmitzer, FX Vialard Journal of Functional Analysis 274 (11), 3090-3123 , 2018 Dynamic programming for constrained optimal control of discrete-time linear hybrid systems F Borrelli, M BaotiÄ, A Bemporad, M Morari Automatica 41 â¦ Chem Eng Journal of Applied Probability, Vol. IEEE 2008, ISBN 978-1-4244-3123-6 Google Scholar The following articles are merged in Scholar. IASTED Internat. Article Download PDF View Record in Scopus Google Scholar. Firstly, the sensor fault is transformed into the pseudo-actuator fault by constructing a â¦ Capacities, measurable selection and dynamic programming Part II: application in stochastic control problems N El Karoui, X Tan arXiv preprint arXiv:1310.3364 , 2013 Optimal time advance in terminal area arrivals: Throughput vs. fuel savings AV Sadovsky, HN Swenson, WB Haskell, J Rakas 2011 IEEE/AIAA 30th Digital Avionics Systems Conference, 2D2-1-2D2-15 , 2011 Optimal control of doubleâdeck elevator group using genetic algorithm J Sorsa, ML Siikonen, H Ehtamo International Transactions in Operational Research 10 (2), 103-114 , 2003 Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions. The following articles are merged in Scholar. He, âNovel iterative neural dynamic programming for data-based approximate optimal control design,â Automatica, vol. 25:293–297, Luus R (1997) Use of iterative dynamic programming for optimal singular When applied to solving the data modeling and optimal control problems of complex systems, the dual heuristic dynamic programming (DHP) technique, which is based on the BP neural network algorithm (BP-DHP), has difficulty in prediction accuracy, slow convergence speed, poor stability, and so forth. a tubular reactor. (2) The analysis and control synthesis techniques in the context of DES are typically based on constructions of automatons, while those in the context of MDPs, including the ones discussed in this paper, are essentially based on optimal control theory, e.g., dynamic programming (DP). Dynamic Programming and Optimal Control, Vol. Improved control rules are extracted from the DP-based control solution, forming near-optimal control strategies. 25:299–304, Luus R (1998) Direct approach to time optimal control by iterative Dynamic Programming and Optimal Control 3rd Edition, Volume II by Dimitri P. Bertsekas Massachusetts Institute of Technology Chapter 6 Approximate Dynamic Programming This is an updated version of the research-oriented Chapter 6 on Approximate Dynamic Programming. Neural ... Optimal dynamic inversion control design for a class of â¦ Title. View at: Publisher Site | Google Scholar B Min, C Park, I Jang, ... International Journal of Greenhouse Gas Control 56, 67-92, 2017. 21, Issue. The first procedure solves a quadratic programming problem at every time step and thus constructs the differential â¦ Canad J Chem Eng Ind Eng Chem Res Optimal control of an EMU using dynamic programming and tractive effort as the control variable N Ghaviha, M Bohlin, F Wallin, E Dahlquist The 56th Conference on Simulation and Modelling (SIMS 56), October 07-09 â¦ , 2015 Luus, R.: âOptimal control by dynamic programming using accessible grid points and region reductionâ, Hungarian J. Industr. On the minimum principle and dynamic programming for hybrid systems with low dimensional switching manifolds A Pakniyat, PE Caines 2015 54th IEEE Conference on Decision and Control (CDC), 2567-2573 , â¦ (1980), Shreve (1981), and Karatzas and Shreve (1988), chapter 6. 12383: 1995: Data networks. I, ISBN-13: 978-1-886529-43-4, 576 pp., hardcover, 2017 The following papers and reports have a strong connection to the book, and amplify on the analysis and the range of applications. Prioritized Optimal Control: a Hierarchical Differential Dynamic Programming approach F Romano, A Del Prete, N Mansard, F Nori IEEE International Conference on Robotics and Automation - 2015 Seattle, USA , 2015 Canad J Chem Eng 17:523–543, Luus R (1990) Application of dynamic programming to high-dimensional nonlinear optimal control problems. D Lebedev, P Goulart, K Margellos ... 2019 IEEE 58th Conference on Decision and Control (CDC), 7448-7453, 2019. The following articles are merged in Scholar. In this chapter, we give a survey of recent results on approximate optimality and stability of closed loop trajectories generated by model predictive control (MPC). Dynamic Programming and Optimal Control, Vol. IASTED Internat. on Control, Cancun, Mexico, May 28-31, 1997, pp 286–289, Luus R (1997) Use of variable stage-lengths for constrained optimal control problems. Chapter 13 introduces the basic concepts of stochastic control and dynamic programming as the fundamental means of synthesizing optimal stochastic control laws. AIChE J ... A Dynamic Programming Framework for Optimal Delivery Time Slot Pricing. âªAutomatic Control Lab, ETH Zurichâ¬ - âªCited by 820â¬ - âªDynamic programmingâ¬ - âªpredictive controlâ¬ - âªmulti-stage optimizationâ¬ - âªpolynomial optimizationâ¬ German Space Operations Center of DLR and European Space Operations Centre of ESA Google Scholar â¦ Luus R (1998) Direct approach to time optimal control by iterative dynamic programming. Proc. Optimal Strategy for Integrated Dynamic Inventory Control and Supplier Selection in Unknown Environment via Stochastic Dynamic Programming Sutrisno, Widowati, Solikhin Journal of Physics: Conference Series 725, 1-6 , 2016 17 (1989), 523â543. This is a major revision of Vol. Proc. Techn 14:122–126, Luus R, Storey C (1997) Optimal control of ... Adaptive dynamic programming and optimal control of nonlinear nonaffine systems. Conf. Ind Eng Chem Res Some features of the site may not work correctly. Princeton Univ. the treatment focuses on basic unifying themes and conceptual foundations. âªGeorgia Institute of Technologyâ¬ - âªCited by 327â¬ - âªOptimal Controlâ¬ - âªHybrid Systemsâ¬ - âªStochastic Controlâ¬ - âªNonlinear Controlâ¬ - âªMean Field Gamesâ¬ ... On the minimum principle and dynamic programming for hybrid systems with low dimensional switching manifolds. This optimal control formulation allows us to develop allocation with guaranteed actuator constraints, and to learn the optimal control allocation online using measured data and without knowing the system dynamics. 67:494–502, Hartig F, Keil FJ, Luus R (1995) Comparison of optimization methods for a fed-batch reactor. Comput Chem Eng Gupta et al., 2011. on Intelligent Systems and Control, Halifax, Nova Scotia, Canada, June 1-4, 1998, pp In this paper, the optimal control problem of a nonlinear robot manipulator in absence of holonomic constraint force based on the point of view of adaptive dynamic programming (ADP) is presented. F. Borrelli, M. BaotiÄ, A. Bemporad, M. MorariDynamic programming for constrained optimal control of discrete-time linear hybrid systems Automatica, 41 (2005), pp. 81–82, Luus R, Zhang X, Hartig F, Keil FJ (1995) Use of piecewise linear continuous control for time-delay systems. control problems. Control and Intelligent Systems The following articles are merged in Scholar. Their combined citations are counted only for the first article. An integrated tool for low thrust optimal control orbit transfers in interplanetary trajectories. IASTED Internat. Comput Chem Eng 19:513–525, DeTremblay M, Luus R (1989) Optimization of non-steady-state operation of reactors. Linear programming models for the user and system optimal dynamic network design problem: formulations, comparisons and extensions SV Ukkusuri, ST Waller Networks and Spatial Economics 8 â¦ Hungarian J Ind Chem Google Scholar Princeton Univ. The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization. Chem Eng Sci 19:55–62, Luus R, Jaakola THI (1973) Optimization by direct search and systematic reduction of the size of search region. The following articles are merged in Scholar. Press, Princeton, Bellman R, Dreyfus S (1962) Applied dynamic programming. 32:859–865, Luus R (1994) Optimal control of batch reactors by iterative dynamic programming. The following articles are merged in Scholar. 33:1486–1492, Bojkov B, Luus R (1995) Time optimal control of high dimensional systems by iterative dynamic programming. II, 4th Edition: Approximate Dynamic Programming Dimitri P. Bertsekas Published June 2012. Journal of Financial Markets 1 (1), 1-50, 1998. Biotechnol and Bioengin Dynamic programming for constrained optimal control of discrete-time linear hybrid systems F Borrelli, M BaotiÄ, A Bemporad, M Morari Automatica 41 (10), 1709-1721 , 2005 ... Google Scholar Citations. ... Optimal control of arrivals to multiserver queues in a random environment. Internat J Control In this paper, two computational procedures based on the differential dynamic programming (DDP) are presented for linear or nonlinear constrained optimal control problems (OCP). Canad J Chem Eng 25:806–811, Mekarapiruk W, Luus R (1997) Optimal control of inequality state constrained systems. Dynamic programming principle for one kind of stochastic recursive optimal control problem and Hamilton-Jacobi-Bellman equation Z Wu, Z Yu SIAM Journal on Control and Optimization 47 â¦ Hungarian J Ind Chem The treatment focuses on basic unifying themes, and conceptual foundations. Approximate Dynamic Programming for Optimal Stationary Control with Control â¦ This is a preview of subscription content, Bellman R (1957) Dynamic programming. Blaisdell, Waltham, pp 84–86, Li D, Haimes YY (1990) New approach for nonseparable dynamic programming problems. DP Bertsekas. Optimal work force allocation for energy, economic and environmental sustainability in the United Arab Emirates: A goal programming approach R Jayaraman, D La Torre, T Malik, YE Pearson Energy Procedia 75, 2999-3006 , 2015 In: Proceedings of the IEEE conference on decision and control, IEEE, New Orleans, LA, USA, 7â9 December 1977, pp.471â479. Proper orthogonal decomposition based optimal neurocontrol synthesis of a chemical reactor process using approximate dynamic programming. Dynamic programming and stochastic control. Proc. 15 Because the investorâs optimal portfolio strategy is essentially the bang-bang control of his trading rate, this stochastic optimal control problem parallels those described in Benes et al. Not logged in 3). Chem Eng Google Scholar 73:380–390, Bojkov B, Luus R (1996) Optimal control of nonlinear systems with unspecified final times. Ind Eng Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Optimal tracking control for a class of nonlinear discrete-time systems with time delays based on heuristic dynamic programming H Zhang, R Song, Q Wei, T Zhang IEEE Transactions on Neural Networks 22 (12), 1851-1862 , 2011 Canad J Chem Eng Conf. Hungarian J Ind Chem Improving the Convergence of Real-Time Dynamic Programming. In those models, the typical optimal strategy is to trade only when the price of the risky asset has changed significantly. Second, can such an optimal gene-expression strategy be emulated by the control systems of real bacteria? 71:451–459, Bojkov B, Luus R (1994) Time-optimal control by iterative dynamic programming. 13:29–41, Dadebo SA, McAuley KB (1995) Dynamic optimization of constrained chemical engineering problems using dynamic programming. âªAssistant Professor, Mechanical Engineering at Florida Institute of Technologyâ¬ - âªCited by 889â¬ - âªOptimal Controlâ¬ - âªAdaptive Dynamic Programmingâ¬ - âªReinforcement Learningâ¬ - âªConnected and Autonomous Vehiclesâ¬ - âªOutput Regulationâ¬ Their combined citations are counted only for the first article. Chem Eng Sci Their combined citations are counted only for the first ... Building Energy Management Human-Robot-Interaction Approximate Dynamic Programming Control of Epidemics. On convergence control in differential dynamic programming applied to realistic aircraft and differential game problems. 240â252, 2017. ... Google Scholar Citations. 296, p. 753. M Jafari, Z Malekjamshidi. View all Google Scholar citations for this article. Dynamic Programming and Optimal Control (1996) Data Networks (1989, co-authored with Robert G. Gallager) Nonlinear Programming (1996) Introduction to Probability (2003, co-authored with John N. Tsitsiklis) Convex Optimization Algorithms (2015) all of which are used for classroom instruction at MIT. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM). IASTED Internat. A combined stochastic programming and optimal control approach to personal finance and pensions AK Konicz, D Pisinger, KM Rasmussen, M Steffensen OR spectrum 37 (3), 583-616 , 2015 Abstract. Dynamic programming and optimal control. on Intelligent Systems and Control, Halifax, Nova Scotia, Canada, June 1-4, 1998, pp 121â125 Google Scholar 1709-1721 Google Scholar The optimal path has significantly smaller losses from friction and heat leaks than the path with conventional piston motion and the same loss parameters. on Modelling, Simulation and Control, Singapore, Aug. 11-13, 1997, pp II of the two-volume DP textbook was published in June 2012. Dynamic programming (DP) technique is applied to find the optimal control strategy including upshift threshold, downshift threshold, and power split ratio between the main motor and auxiliary motor. Sort. Maximum principle for forwardâbackward stochastic control system under G -expectation and relation to dynamic programming. Ind Eng Chem Res Betts, JT (2001) Practical Methods for Optimal Control Using Nonlinear Programming (SIAM Advances in Design and Control). The fourth edition of Vol. 19:245–254, Luus R (1991) Effect of the choice of final time in optimal control of nonlinear systems. Optimal Control Appl Meth Conf. 48:3864–3867, Christodoulos A. Floudas, Panos M. Pardalos, https://doi.org/10.1007/978-0-387-74759-0, Reference Module Computer Science and Engineering, Duality Theory: Biduality in Nonconvex Optimization, Duality Theory: Monoduality in Convex Optimization, Duality Theory: Triduality in Global Optimization, Dykstra’s Algorithm and Robust Stopping Criteria, Dynamic Programming: Average Cost Per Stage Problems, Dynamic Programming: Continuous-time Optimal Control, Dynamic Programming: Infinite Horizon Problems, Overview, Dynamic Programming and Newton’s Method in Unconstrained Optimal Control, Dynamic Programming: Optimal Control Applications, Dynamic Programming: Stochastic Shortest Path Problems, Dynamic Programming: Undiscounted Problems, Eigenvalue Enclosures for Ordinary Differential Equations, Emergency Evacuation, Optimization Modeling, Entropy Optimization: Interior Point Methods. An optimal consumption, investment and voluntary retirement choice problem with disutility and subsistence consumption constraints: A dynamic programming approach HS Lee, YH Shin Journal of Mathematical Analysis and Applications 428 (2), 762-771 , 2015 This "Cited by" count includes citations to the following articles in Scholar. Proc. 121–125, Luus R (1998) Iterative dynamic programming: from curiosity to a practical optimization procedure. Article Download PDF View Record in Scopus Google Scholar. 37:1802–1806, Luus R (1993) Application of dynamic programming to differential-algebraic process systems. DP Bertsekas. 50.62.208.62. The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization. Proceedings of the 47th IEEE Conference on Decision and Control, CDC 2008, December 9-11, 2008, Cancún, Mexico. During his amazingly prolific career, based primarily at The University of Southern California, he published 39 books (several of which were reprinted by Dover, including Dynamic Programmingâ¦ Part of Springer Nature. Hungarian J Ind Chem Proc. Conf. Then rule extraction is conducted on dynamic programming results, and the rule is real-time loaded to onboard controllers of vehicles. IASTED Internat. This paper introduces a new formulation of dynamic control allocation as a dynamic optimization problem. The leading and most up-to-date textbook on the far-ranging algorithmic methododogy of Dynamic Programming, which can be used for optimal control, Markovian decision problems, planning and sequential decision making under uncertainty, and discrete/combinatorial optimization. Dynamic programming is both a mathematical optimization method and a computer programming method. It will be periodically updated as This service is more advanced with JavaScript available, Over 10 million scientific documents at your fingertips. This volume builds upon the foundations set in Volumes 1 and 2. ... Optimal control of execution costs. 26:1–8, Luus R (2000) Iterative dynamic programming. 28:993–1003, Mekarapiruk W, Luus R (1997) Optimal control of final state constrained systems. II and contains a substantial amount of new material, as well as a â¦ Dynamic Programming and Optimal Control. Articles Cited by Co-authors. Canad J Chem Eng 69:144–151, Luus R (1992) On the application of iterative dynamic programming to singular optimal control problems. The following articles are merged in Scholar. Model predictive control of central chiller plant with thermal energy storage via dynamic programming and mixed-integer linear programming K Deng, Y Sun, S â¦ Chapman and Hall/CRC, London, Luus R, Bojkov B (1994) Global optimization of the bifunctional catalyst problem. 21:243–250, Luus R (1993) Optimization of fed-batch fermentors by iterative dynamic programming. 81, pp. Their combined citations are counted only for the first article. Optimal control of an EMU using dynamic programming and tractive effort as the control variable N Ghaviha, M Bohlin, F Wallin, E Dahlquist The 56th Conference on Simulation and Modelling (SIMS 56), October 07-09 â¦ , 2015 A particular focus of the chapter is to highlight the role dynamic programming plays in this analysis. DOI: 10.1002/9781118453988 Corpus ID: 1459416. Google Scholar Conley, P. ( 1970 ), â Experience Curves as a Planning Tool ,â in Experience Curves as a Planning Tool: A Special Commentary, Boston Consulting Group. 36:1686–1694, Tassone V, Luus R (1993) Reduction of allowable values for control in iterative dynamic programming. T Bian, Y Jiang, ZP Jiang. 1: B Bonet, H Geffner. Proc. I. The ones marked * may be different from the article in the profile. Feller C., Johanson T.A., Olaru S. ... His research interests include predictive and optimal control, nonlinear dynamics, and applications in the energy and chemical â¦ Robust optimal control of wave energy converters based on adaptive dynamic programming J Na, G Li, B Wang, G Herrmann, S Zhan IEEE Transactions on Sustainable Energy 10 (2), 961-970 , 2018 In this paper, a novel active optimal fault-tolerant control (FTC) scheme is designed based on adaptive dynamic programming (ADP) for modular manipulator when sensor and actuator faults are concurrency. Chem Res 30:1525–1530, Luus R, Smith SG (1991) Application of dynamic programming to high-dimensional systems described by difference equations. La 4e de couverture indique : "This is substantially expanded and imprved edition of the best selling book by Bertsekas on dynamic programming, a central algorithmic method for optimal control, sequential decision making under uncertainty, and combinatorial optimization. Sun, Zhongyang 2016. The resulting increases in efficiency are of the order of 10%. I. J Process Control 4:218–226, Luus R (1995) Sensitivity of control policy on yield of a fed-batch reactor. Dynamic Ideas 13, 471-503, 2005. 24:279–284, Luus R (1997) Application of iterative dynamic programming to optimal control of nonseparable problems. ... Development of Pareto-based evolutionary model integrated with dynamic goal programming and successive linear objective reduction. Hungarian J Ind Chem 245–249, Luus R, Tassone V (1992) Optimal final state constrained systems. Feller et al., 2013. Canad J Chem Eng 72:160–163, Luus R, Dittrich J, Keil FJ (1992) Multiplicity of solutions in the optimization of a bifunctional catalyst blend in Book Title :Dynamic Programming & Optimal Control, Vol. In: Proceedings of the 18th International Symposium on Space Flight Dynamics, Munich, Germany, October, p. 143 (2004). 19:995–1013, Luus R (1991) Application of iterative dynamic programming to state constrained optimal control problems. ICAPS 3, 12-21 ... Optimal control as a graphical model inference problem. The treatment focuses on basic unifying themes, and conceptual foundations. Simulation, Pittsburgh, PA, April 27-29, 1995, pp 224–226, Luus R (1996) Numerical convergence properties of iterative dynamic programming when applied to high dimensional systems. 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