Proc. Feller et al., 2013. 245–249, Luus R, Tassone V (1992) Optimal Conf. The following articles are merged in Scholar. 17:523–543, Luus R (1990) Application of dynamic programming to high-dimensional nonlinear optimal control problems. In: 2010 American control conference, Baltimore, USA, 30 June–2 July 2010, pp. The overall dynamic programming approach is stated in Alg. Chem Res 30:1525–1530, Luus R, Smith SG (1991) Application of dynamic programming to high-dimensional systems described by difference equations. Systems, Man and Cybernetics, IEEE Transactions on, 1976. The fourth edition of Vol. Their, This "Cited by" count includes citations to the following articles in Scholar. 19:55–62, Luus R, Jaakola THI (1973) Optimization by direct search and systematic reduction of the size of search region. We will consider optimal control of a dynamical system over both a finite and an infinite number of stages. The ones marked. II of the two-volume DP textbook was published in June 2012. Hungarian J Ind Chem ... Asymptotically stable adaptive–optimal control algorithm with saturating actuators and relaxed persistence of excitation. The model was compared with the continuum approach used in previous studies. dynamic programming. Background. IASTED Internat. IASTED Internat. D Lebedev, P Goulart, K Margellos ... 2019 IEEE 58th Conference on Decision and Control (CDC), 7448-7453, 2019. Conf. School of Computer and Information Engineering, Henan University, Kaifeng, Henan 475004, PR China - Cited by 487 - reinforcement Learning - Dynamic Programming - adaptive dynamic programming - optimal control Google Scholar | Crossref See here for an online reference. An efficient, dynamic programming algorithm was used to determine the optimal bus-stop locations. Add co-authors Co-authors. 6 73:380–390, Bojkov B, Luus R (1996) Optimal control of nonlinear systems with unspecified final times. Luus, R.: ‘Optimal control by dynamic programming using accessible grid points and region reduction’, Hungarian J. Industr. 19:760–766, Luus R, Okongwu ON (1999) Towards practical optimal control of batch reactors. Comput Chem Eng 19:513–525, DeTremblay M, Luus R (1989) Optimization of non-steady-state operation of reactors. Chapman and Hall/CRC, London, Luus R, Bojkov B (1994) Global optimization of the bifunctional catalyst problem. IEEE Trans Control Syst Technol 2013; 21: 2104 – 2113. Hungarian J Ind Chem Try again later. New York: IEEE. 1 and 2). The following articles are merged in Scholar. 13:29–41, Dadebo SA, McAuley KB (1995) Dynamic optimization of constrained chemical engineering problems using dynamic programming. This volume builds upon the foundations set in Volumes 1 and 2. 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. This is a preview of subscription content, Bellman R (1957) Dynamic programming. Journal of Economic Dynamics and Control, 55, 57–70. Hungarian J Ind Chem Canad J Chem Eng 70:780–785, Luus R, Galli M (1991) Multiplicity of solutions in using dynamic programming for optimal control. 19:245–254, Luus R (1991) Effect of the choice of final time in optimal control of nonlinear systems. Optimal Control Appl Meth 19:995–1013, Luus R (1991) Application of iterative dynamic programming to state constrained optimal control problems. This service is more advanced with JavaScript available, Over 10 million scientific documents at your fingertips. Not affiliated The system can't perform the operation now. R Padhi, SN Balakrishnan. This includes systems with finite or infinite state spaces, as well as perfectly or imperfectly observed systems. 12511: 1995: Data networks. Chem Eng 3964: 32:859–865, Luus R (1994) Optimal control of batch reactors by iterative dynamic programming. Dynamic Programming and Optimal Control. Improved control rules are extracted from the DP-based control solution, forming near … Proc. 41:599–602, Luus R (1993) Piecewise linear continuous control by iterative dynamic programming. Press, Princeton, Bellman R, Dreyfus S (1962) Applied dynamic programming. Chem Eng Sci Dynamic programming and stochastic control. Proc. 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 Ind Eng Chem Res School of Computer and Information Engineering, Automation Science and Engineering, IEEE Transactions on 11 (3), 839 - 849, International Journal of Control 87 (5), 1000-1009, International Journal of Systems Science 45 (8), 1683-1693, Neural Computing and Applications, 531-538, Electrical Measurement & Instrumentation 2, 013, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, Control and Decision Conference (CCDC), 2016 Chinese, 396-401, Intelligent Control and Information Processing (ICICIP), 2014 Fifth …, Intelligent Control and Information Processing (ICICIP), 2013 Fourth …, Journal of Henan Institute of Education (Natural Science Edition) 2, 023, Journal of Henan University (Natural Science) 4, 022, 2014 International Joint Conference on Neural Networks (IJCNN), 3815-3820, S LIU, Y LIU, H WANG, C QIN, G LIANG, B ZHAO, Journal of Hebei Normal University (Natural Science Edition) 1, 024, New articles related to this author's research, Assistant Professor, School of Aerospace Engineering, Georgia Institute of Technology, Missouri University of Science and Technology, Neural-Network-Based Constrained Optimal Control Scheme for Discrete-Time Switched Nonlinear System Using Dual Heuristic Programming, Online Adaptive Policy Learning Algorithm for H∞ State Feedback Control of Unknown Affine Nonlinear Discrete-Time Systems, Online optimal tracking control of continuous-time linear systems with unknown dynamics by using adaptive dynamic programming, Neural network-based online H∞ control for discrete-time affine nonlinear system using adaptive dynamic programming, Finite horizon optimal control of non-linear discrete-time switched systems using adaptive dynamic programming with ε-error bound, Optimal tracking control of a class of nonlinear discrete-time switched systems using adaptive dynamic programming, Model‐Free H∞ Control Design for Unknown Continuous‐Time Linear System Using Adaptive Dynamic Programming, Analyzing and Modeling for Shunt Current Electric Larceny of Electric Power Metering System [J], Adaptive optimal control for nonlinear discrete-time systems, 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), Adaptive learning solution of the nonzero-sum differential game with unknown dynamics using adaptive dynamic programming, Neural network-based near-optimal control for nonlinear discrete-time zero-sum differential games associated with the H∞ control problem, Near-optimal control for continuous-time nonlinear systems with control constraints using on-line ADP, Discussion on How to Adequately Bring the Function of College Physics Open-Experiment into Play [J], Design of Anti-shunt Current Electric Larceny System Based on the GSM Technology, Design of a Shunt-current Electric Larceny Detecting Monitoring in Electric Power Metering System, Model-free adaptive dynamic programming for online optimal solution of the unknown nonlinear zero-sum differential game, Effect of Hepcidin on Cellular Iron Metabolism [J]. IEEE Trans Autom Control AIChE J Dynamic programming: principle of optimality, dynamic programming, discrete LQR (PDF - 1.0 MB) 4: HJB equation: differential pressure in continuous time, HJB equation, continuous LQR : 5: Calculus of variations. Google Scholar. 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 Dynamic Programming and Optimal Control, Vol. Control and Intelligent Systems 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. Hungarian J Ind Chem 1. Hungarian J Ind Chem 71:451–459, Bojkov B, Luus R (1994) Time-optimal control by iterative dynamic programming. This "Cited by" count includes citations to the following articles in Scholar. Google Scholar This entry illustrates the application of Bellman’s Dynamic Programming Principle within the context of optimal control problems for continuous-time dynamical systems. Canad J Chem Eng Ind Eng Chem Res 121–125, Luus R (1998) Iterative dynamic programming: from curiosity to a practical optimization procedure. 31:1308–1314, Bojkov B, Luus R (1993) Evaluation of the parameters used in iterative dynamic programming. Hungarian J Ind Chem 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 Google Scholar Hungarian J Ind Chem 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. 42nd Canad. 25:293–297, Luus R (1997) Use of iterative dynamic programming for optimal singular © 2020 Springer Nature Switzerland AG. Techn 14:122–126, Luus R, Storey C (1997) Optimal control of 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 IASTED Internat. Chemical Engin. 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. control problems. Proper orthogonal decomposition based optimal neurocontrol synthesis of a chemical reactor process using approximate dynamic programming. Athena Scientific, 1995. Conf. 26:1–8, Luus R (2000) Iterative dynamic programming. Proc. 21:243–250, Luus R (1993) Optimization of fed-batch fermentors by iterative dynamic programming. ... A dynamic programming framework for optimal delivery time slot pricing. 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. (Vol. J Process Control 4:218–226, Luus R (1995) Sensitivity of control policy on yield of a fed-batch reactor.
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