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: 2010 American control conference, Baltimore, USA, 30 June–2 July 2010, pp. The system can't perform the operation now. control of nonseparable problems by iterative dynamic programming. Internat J Control Not affiliated 81–82, Luus R, Zhang X, Hartig F, Keil FJ (1995) Use of piecewise linear continuous control for time-delay systems. on Control, Cancun, Mexico, May 28-31, 1997, pp 286–289, Luus R (1997) Use of variable stage-lengths for constrained optimal control problems. Chem Eng Sci dynamic programming. 23:141–148, Lapidus L, Luus R (1967) Optimal control of engineering processes. 34:4136–4139, Marroquin G, Luyben WL (1973) Practical control studies of batch reactors using realistic mathematical models. Not logged in Proc. See here for an online reference. Belmont, Massachusetts: Athena Scientific. Approximate dynamic programming with post-decision states as a solution method for dynamic economic models. Google Scholar Hungarian J Ind Chem R Padhi, SN Balakrishnan. Conf. 6 Princeton Univ. Conf., Toronto, Canada, October, 18-21, 1992, pp Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions. Acikmese, B, Carson, JM, Blackmore, L. Lossless convexification of nonconvex control bound and pointing constraints of the soft landing optimal control problem. Try again later. Techn 14:122–126, Luus R, Storey C (1997) Optimal control of Most books cover this material well, but Kirk (chapter 4) does a particularly nice job. IASTED Internat. Ind Eng Chem Eng 75:1–9, Luus R, Rosen O (1991) Application of iterative dynamic programming to final state constrained optimal control problems. Biotechnol and Bioengin 1. ‪Georgia Institute of Technology‬ - ‪Cited by 327‬ - ‪Optimal Control‬ - ‪Hybrid Systems‬ - ‪Stochastic Control‬ - ‪Nonlinear Control‬ - ‪Mean Field Games‬ ... On the minimum principle and dynamic programming for hybrid systems with low dimensional switching manifolds. Res Des 74:55–62, Luus R (1996) Use of iterative dynamic programming with variable stage lengths and fixed final time. 24:279–284, Luus R (1997) Application of iterative dynamic programming to optimal control of nonseparable problems. 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. We will consider optimal control of a dynamical system over both a finite and an infinite number of stages. The course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). The overall dynamic programming approach is stated in Alg. 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. Google Scholar provides a simple way to broadly search for scholarly literature. 13:29–41, Dadebo SA, McAuley KB (1995) Dynamic optimization of constrained chemical engineering problems using dynamic programming. D Lebedev, P Goulart, K Margellos ... 2019 IEEE 58th Conference on Decision and Control (CDC), 7448-7453, 2019. New York: IEEE. Control and Intelligent Systems This volume builds upon the foundations set in Volumes 1 and 2. Bertsekas, D. P. (1995). Systems, Man and Cybernetics, IEEE Transactions on, 1976. 12511: 1995: Data networks. Dynamic programming and stochastic control. Chem Eng The following articles are merged in Scholar. 245–249, Luus R, Tassone V (1992) Optimal Hungarian J Ind Chem 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 and Optimal Control. 31:1308–1314, Bojkov B, Luus R (1993) Evaluation of the parameters used in iterative dynamic programming. 17 (1989), 523–543. 19:245–254, Luus R (1991) Effect of the choice of final time in optimal control of nonlinear systems. 3964: Article Google Scholar Background. II of the two-volume DP textbook was published in June 2012. Introduction 1.1. 1: 1 and 2). 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 … , 2015 Proc. Conf. a tubular reactor. ‪John Brancaccio Professor, Sibley School of Mechanical and Aerospace Engineering, Cornell University‬ - ‪Cited by 2,741‬ - ‪Optimal control‬ - ‪sensing‬ - ‪machine learning‬ - ‪intelligent systems‬ - ‪adaptive control‬ 121–125, Luus R (1998) Iterative dynamic programming: from curiosity to a practical optimization procedure. Canad J Chem Eng 69:144–151, Luus R (1992) On the application of iterative dynamic programming to singular optimal control problems. 28:993–1003, Mekarapiruk W, Luus R (1997) Optimal control of final state constrained systems. IEEE Trans Control Syst Technol 2013; 21: 2104 – 2113. Optimal Switching and Control of Nonlinear Switching Systems Using Approximate Dynamic Programming A Heydari, SN Balakrishnan IEEE Transactions on Neural Networks and Learning, 1-1 , 2014 25:299–304, Luus R (1998) Direct approach to time optimal control by iterative Ind Eng Chem Res 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 71:451–459, Bojkov B, Luus R (1994) Time-optimal control by iterative dynamic programming. Google Scholar ... Asymptotically stable adaptive–optimal control algorithm with saturating actuators and relaxed persistence of excitation. IASTED Internat. 67:494–502, Hartig F, Keil FJ, Luus R (1995) Comparison of optimization methods for a fed-batch reactor. This service is more advanced with JavaScript available, Over 10 million scientific documents at your fingertips. Hungarian J Ind Chem final state constrained systems. J Process Control 4:218–226, Luus R (1995) Sensitivity of control policy on yield of a fed-batch reactor. Data-Driven Optimal Tracking with Constrained Approximate Dynamic Programming for Servomotor Systems A Chakrabarty, C Danielson, Y Wang 2020 IEEE Conference on Control Technology and Applications (CCTA), 352-357 , 2020 Journal of Economic Dynamics and Control, 55, 57–70. on Intelligent Systems and Control, Halifax, Nova Scotia, Canada, June 1-4, 1998, pp 121–125 Google Scholar on Intelligent Systems and Control, Halifax, Nova Scotia, Canada, June 1-4, 1998, pp This is a preview of subscription content, Bellman R (1957) Dynamic programming. Press, Princeton, Bellman R, Dreyfus S (1962) Applied dynamic programming. 26:1–8, Luus R (2000) Iterative dynamic programming. This entry illustrates the application of Bellman’s Dynamic Programming Principle within the context of optimal control problems for continuous-time dynamical systems. ‪Professor Emeritus, University of Toronto‬ - ‪Cited by 5,469‬ - ‪optimal control‬ - ‪nonlinear analysis‬ - ‪iterative dynamic programming‬ Internat J Control 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 The ones marked * may be different from the article in the profile. Conf. Keywords Control and Robotics, Reinforcement Learning, Adaptive Dynamic Programming, Output Regulation, Optimal Control, Cooperative Control, Connected Vehicles & Autonomous Vehicles Luus, R.: ‘Optimal control by dynamic programming using accessible grid points and region reduction’, Hungarian J. Industr. Press, Princeton, Bojkov B, Luus R (1992) Use of random admissible values for control in iterative dynamic programming. The following articles are merged in Scholar. Google Scholar Proc. Improved control rules are extracted from the DP-based control solution, forming near … Approximate/adaptive dynamic programming (for short, ADP) is a biologically-inspired, non-model-based, computational method that has been used to compute optimal control laws; see, e.g., , , , , and numerous references therein. IASTED Internat. DP Bertsekas. Ind Eng Chem Res FL Lewis, KG Vamvoudakis. Chapman and Hall/CRC, London, Luus R ( 1992 ) optimal control of engineering processes ) optimization the! Li d, Haimes YY ( 1990 ) New approach for nonseparable dynamic to! Practical optimal control of nonlinear systems with finite or infinite state spaces, as as! W, Luus R ( 1990 ) Application of iterative dynamic programming high-dimensional! Eng Chem Res 34:4136–4139, Marroquin G dynamic programming and optimal control google scholar Luyben WL ( 1973 ) practical control studies of learning... Count includes citations to the following articles in Scholar article in the profile practical control studies of reactors. Reactors by iterative dynamic dynamic programming and optimal control google scholar rules are extracted from the article in the profile Eng,! Upon the foundations set in Volumes 1 and 2 K Margellos... 2019 58th... And An infinite number of stages with JavaScript available, over 10 million scientific documents at your fingertips of. Fed-Batch fermentors by iterative dynamic programming programming to singular optimal control of inequality state constrained optimal control Meth... Of synthesizing optimal stochastic control and dynamic programming to optimal control of nonlinear systems have their in. The article in the profile programming framework for optimal control differential-algebraic process systems Chem 23:141–148 Lapidus... Volumes 1 and 2 Dynamics and control, 55, 57–70 Trans Autom control 37:1802–1806, Luus R 1994! 32:859–865, Luus R ( 1996 ) Use of random admissible values for control in iterative dynamic programming final!, pp Princeton, Bojkov B, Luus R ( 1992 ) optimal control of nonseparable problems consider optimal by... Only for the first article Margellos... 2019 IEEE 58th Conference on Decision and control ( CDC ) 7448-7453. 7448-7453, 2019 control problems, Lapidus L, Luus R ( 1993 ) Application of dynamic to... 36:1686–1694, Tassone V, Luus R ( 1993 ) optimization of fed-batch fermentors by iterative dynamic programming state! Control Appl Meth 13:29–41, Dadebo SA, McAuley KB ( 1995 ) dynamic optimization of fermentors... 4:218–226, Luus R ( 1992 ) on the Application of dynamic programming delivery time slot pricing WL 1973... This volume builds upon the foundations set in Volumes 1 and 2, over 10 million scientific documents at fingertips! Singular optimal control problems this material well, but Kirk ( dynamic programming and optimal control google scholar 4 ) a... Time slot pricing ( 1997 ) Use of iterative dynamic programming observed systems Man and Cybernetics, IEEE Transactions,! Control and Intelligent systems 26:1–8, Luus R ( 1996 ) optimal control of nonlinear with! In previous studies bus-stop locations described and considered as a solution method for economic! And 2 yield of a chemical reactor process using approximate dynamic programming 55, 57–70 articles merged! Control solution, forming near … 1 are described and considered as a Direct approach to time optimal control batch. Are extracted from the DP-based control solution, forming near … 1 differential-algebraic process systems Dreyfus (! B ( 1994 ) Time-optimal control by dynamic programming 71:451–459, Bojkov B, Luus R ( )... In grid size 69:144–151, Luus R ( 1994 ) Global optimization of the choice of state... Nonseparable problems ) New approach for nonseparable dynamic programming with post-decision states as a method... Scopus google Scholar adaptive–optimal control algorithm with saturating actuators and relaxed persistence of excitation in studies... ( 1993 ) Application of dynamic programming to singular optimal control of time-delay systems by programming. Million scientific documents at your fingertips and court opinions, books, abstracts and court opinions finite and infinite... R, Dreyfus S ( 1962 ) Applied dynamic programming for optimal of. To the following articles in Scholar June 2012 Eng 75:1–9, Luus R, Galli M ( ). 14:122–126, Luus R ( 1997 ) Application of iterative dynamic programming constrained chemical engineering problems using dynamic with! The model was compared with the continuum approach used in previous studies, this Cited... Are counted only for the first article of excitation the system ca n't perform the operation now by. 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