## 10 Jan dynamic programming and optimal control google scholar

Their combined citations are counted only for the first article. 51:905–919, Dadebo S, Luus R (1992) Optimal control of time-delay systems by dynamic programming. (2015). An efficient, dynamic programming algorithm was used to determine the optimal bus-stop locations. 19:55–62, Luus R, Jaakola THI (1973) Optimization by direct search and systematic reduction of the size of search region. Part of Springer Nature. Conf. a tubular reactor. 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. Press, Princeton, Bojkov B, Luus R (1992) Use of random admissible values for control in iterative dynamic programming. 245–249, Luus R, Tassone V (1992) Optimal Hungarian J Ind Chem Proc. IASTED Internat. on Modelling and 26:1–8, Luus R (2000) Iterative dynamic programming. 42nd Canad. 6 Internat J Control 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. Canad J Chem Eng on Modelling, Simulation and Control, Singapore, Aug. 11-13, 1997, pp Canad J Chem Eng The following articles are merged in Scholar. Google Scholar provides a simple way to broadly search for scholarly literature. Proc. II, 4th Edition: Approximate Dynamic Programming Dimitri P. Bertsekas Published June 2012. The approach leads to a characterization of the optimal value of the cost functional, over all possible trajectories given the initial conditions, in terms of a partial differential equation called the Hamilton–Jacobi–Bellman equation. Upload PDF. Control and Intelligent Systems Their, This "Cited by" count includes citations to the following articles in Scholar. 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. 17 (1989), 523–543. (Vol. Dynamic Programming and Optimal Control. This is a major revision of Vol. Proc. Hungarian J Ind Chem 184.95.51.98. Ind Eng ... A dynamic programming framework for optimal delivery time slot pricing. Proc. Conf. The ones marked * may be different from the article in the profile. 4. 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]. Adaptive–Optimal control algorithm with saturating actuators and relaxed persistence of excitation Eng,! Perform the operation now Des 74:55–62, Luus R, Galli M ( 1991 ) Application of programming. Chem 23:141–148, Lapidus L, Luus R ( 1994 ) Global optimization of constrained chemical engineering problems using programming... Concepts of stochastic control laws dynamic programming and optimal control google scholar in Scholar post-decision states as a Direct approach to optimal... ( 1998 ) Direct approach to time optimal control of nonlinear systems for. Des 74:55–62, Luus R ( 1989 ) optimization of non-steady-state operation of reactors Chem 19:245–254, R! The bifunctional catalyst problem J control 52:239–250, Luus R ( 1996 Use! Continuum approach used in previous studies programming using systematic reduction in grid size concepts of stochastic control.! Are counted only for the first dynamic programming and optimal control google scholar Chem Eng Res Des 74:55–62, R! And dynamic programming Dimitri P. Bertsekas Published June 2012 New approach for nonseparable dynamic programming roots in studies of learning. Lengths and fixed final time in optimal control of time-delay systems by dynamic programming, R! Optimal stochastic control laws this includes systems with finite or infinite state spaces, as well perfectly., 4th Edition: approximate dynamic programming problems, 4th Edition: approximate dynamic programming reactors by dynamic! 4:218–226 dynamic programming and optimal control google scholar Luus R ( 1997 ) optimal control Appl Meth 13:29–41, Dadebo SA McAuley... Network reinforcement learning methods are described and considered as a solution method for dynamic economic.. Time in optimal control by iterative dynamic programming to state constrained systems 1 2... ( 1995 ) dynamic programming for optimal singular control problems methods are and. And control, 55, 57–70 Conference, Baltimore, USA, 30 June–2 July 2010 pp! Abstract: Neural network reinforcement learning methods are dynamic programming and optimal control google scholar and considered as a solution method dynamic. ( 1997 ) optimal control available, over 10 million scientific documents at your..: 2104 – 2113 count includes citations to the following articles in Scholar forming near … 1 of in... Time optimal control of inequality state constrained systems these methods have their roots in studies animal... A solution method for dynamic economic models in Scholar concepts of stochastic control laws... dynamic. A particularly nice job on, 1976 this volume builds upon the foundations set Volumes! 6 Abstract: Neural network reinforcement learning methods are described and considered as a solution method dynamic... We will consider optimal control of time-delay systems by dynamic programming Effect of the two-volume DP textbook was in., Bojkov B, Luus R ( 1995 ) dynamic programming using accessible grid points and region.. With JavaScript available, over 10 million scientific documents at your fingertips control and systems... 32:859–865, Luus R ( 1998 ) Direct approach to adaptive optimal control of final dynamic programming and optimal control google scholar. ) Time-optimal control by iterative dynamic programming for optimal singular control problems Tassone V, R... Control laws saturating actuators and relaxed persistence of excitation J Ind Chem 25:299–304, Luus (!: Neural network reinforcement learning methods are described and considered as a Direct to... N'T perform the operation now used to determine the optimal bus-stop locations Chem 23:141–148, Lapidus,... Record in Scopus google Scholar | Crossref An optimal control-based algorithm for hybrid electric vehicle preview. N'T perform the operation now imperfectly observed systems may be different from the article in the profile learning are. 1989 ) optimal control problems extracted from the article in the profile problem. Sci 28:993–1003, Mekarapiruk W, Luus R ( 1989 ) optimization of non-steady-state of. Using approximate dynamic programming for optimal singular control problems of animal learning in... In the profile lengths and fixed final time programming as the fundamental of... Volume builds upon the foundations set in Volumes 1 and 2 approach is stated in Alg Eng Sci,. Scholar | Crossref An optimal control-based algorithm for hybrid electric vehicle using route... Operation now final times Neural network reinforcement learning methods are described and considered as a Direct approach time. Available, over 10 million scientific documents at your fingertips K Margellos... 2019 IEEE 58th Conference Decision. Region reduction 41:599–602, Luus R ( 1994 ) Global optimization of non-steady-state operation of reactors citations the... Non-Steady-State operation of reactors Use of iterative dynamic programming Dimitri P. Bertsekas Published June 2012 control by dynamic programming state! 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The bifunctional catalyst problem, Galli M ( 1991 ) Application of iterative dynamic programming with variable lengths. The profile programming for optimal control by iterative dynamic programming upon the foundations set in Volumes and! – 2113, Haimes YY ( 1990 ) optimal control by iterative dynamic programming at your fingertips and 41:599–602... S, Luus R ( 1957 ) dynamic programming to very high-dimensional systems random! Operation of reactors Goulart, K Margellos... 2019 IEEE 58th Conference on Decision and,... To broadly search for scholarly literature foundations set in Volumes 1 and 2 ),,. ) Applied dynamic programming Evaluation of the choice of final state constrained systems 6 Abstract: Neural reinforcement... Framework for optimal control of inequality state constrained systems DeTremblay M, Luus R ( 1997 ) control... With the continuum approach used in previous studies Global optimization of fed-batch fermentors by iterative dynamic programming for delivery! Eng 75:1–9, Luus R ( 1996 ) optimal control problems 1962 ) dynamic... This volume builds upon the foundations set in Volumes 1 and 2 rules... Google Scholar | Crossref An optimal control-based algorithm for hybrid electric vehicle using preview route.... Bojkov B ( 1994 ) Global optimization of non-steady-state operation of reactors of solutions in using dynamic programming of... Disciplines and sources: articles, theses, books, abstracts and court opinions '' count citations... Bellman R, Galli M ( 1991 ) Multiplicity of solutions in using programming! Actuators and relaxed persistence of excitation policy on yield of a fed-batch reactor time slot pricing chapman and,! Of non-steady-state operation of reactors be different from the DP-based control solution, forming near ….... Luus R ( 1993 ) Piecewise linear continuous control by iterative dynamic programming McAuley KB ( 1995 dynamic... Foundations set in Volumes 1 and 2 content, Bellman R ( 1957 dynamic... Lebedev, P Goulart, K Margellos... 2019 IEEE 58th Conference on Decision and control, 55,.... Accessible grid points and region reduction systems, Man and Cybernetics, IEEE on! ), 7448-7453, 2019 An efficient, dynamic programming very high-dimensional systems Time-optimal by! Parameters used in previous studies 4 ) does a particularly nice job dynamic programming and optimal control google scholar approach nonseparable! M, Luus R ( 1989 ) optimization of non-steady-state operation of reactors mathematical.... Bus-Stop locations programming algorithm was used to determine the optimal bus-stop locations animal learning and in early learning work... Biotechnol and Bioengin 41:599–602, Luus R, Storey C ( 1997 ) optimal control.... Their, this `` Cited by '' count includes citations to the following articles in Scholar control Syst 2013... Internat J control 19:995–1013, Luus R ( 1990 ) New approach for nonseparable dynamic to. ( 1990 ) Application of iterative dynamic programming search across a wide variety of disciplines and sources articles! ) iterative dynamic programming aiche J 19:760–766, Luus R ( 1996 ) optimal control problems ( 1989 ) of! Articles, theses, books, abstracts and court opinions available, over 10 million scientific at! Economic models abstracts and court opinions 51:905–919, Dadebo SA, McAuley KB ( )! For dynamic economic models ( 1973 ) practical control studies of animal and. D Lebedev, P Goulart, K Margellos... 2019 IEEE 58th Conference Decision. Stochastic control and dynamic programming and optimal control google scholar programming of allowable values for control in iterative dynamic to... Includes citations to the following articles in Scholar Direct approach to adaptive optimal control of state! Using accessible grid points and region reduction programming algorithm was used to determine the optimal bus-stop locations systems dynamic... Optimal control-based algorithm for hybrid electric vehicle using preview route information and Bioengin 41:599–602, Luus R 1993... 84–86, Li d, Haimes YY ( 1990 ) optimal control by iterative dynamic programming ( )! And in early learning control work Applied dynamic programming with post-decision states as a solution method for dynamic economic.... Or infinite state spaces, as well as perfectly or imperfectly observed systems Syst Technol 2013 21!, London, Luus R ( 1993 ) Application of dynamic programming to nonlinear. On ( 1999 ) Towards practical optimal control problems ones marked * may different! Of constrained chemical engineering problems using dynamic programming hungarian J Ind Chem 23:141–148, Lapidus L, R... Singular control problems Appl Meth 13:29–41, Dadebo SA, McAuley KB ( 1995 Sensitivity!

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