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dynamic programming and optimal control google scholar

//dynamic programming and optimal control google scholar

dynamic programming and optimal control google scholar

Their combined citations are counted only for the first article. Google Scholar. 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. 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 © 2020 Springer Nature Switzerland AG. Proc. Conf. Adaptive dynamic programming for finite-horizon optimal control of linear time-varying discrete-time systems B Pang, T Bian, ZP Jiang Control Theory and Technology 17 (1), 73-84 , 2019 ... Adaptive dynamic programming using measured output data. 51:905–919, Dadebo S, Luus R (1992) Optimal control of time-delay systems by dynamic programming. 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. Chem Eng Article Download PDF View Record in Scopus Google Scholar. Control and Intelligent Systems Proc. Chemical Engin. Google Scholar provides a simple way to broadly search for scholarly literature. 17 (1989), 523–543. Canad J Chem Eng 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. Upload PDF. Chem Res 30:1525–1530, Luus R, Smith SG (1991) Application of dynamic programming to high-dimensional systems described by difference equations. 21:243–250, Luus R (1993) Optimization of fed-batch fermentors by iterative dynamic programming. The following articles are merged in Scholar. 24:279–284, Luus R (1997) Application of iterative dynamic programming to optimal control of nonseparable problems. Res Des 74:55–62, Luus R (1996) Use of iterative dynamic programming with variable stage lengths and fixed final time. The model was compared with the continuum approach used in previous studies. Proc. JOTA 66:311–330, Luus R (1989) Optimal control by dynamic programming using accessible grid points and region reduction. 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 Luus R (1998) Direct approach to time optimal control by iterative dynamic programming. 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 23:141–148, Lapidus L, Luus R (1967) Optimal control of engineering processes. 37:1802–1806, Luus R (1993) Application of dynamic programming to differential-algebraic process systems. 31:1308–1314, Bojkov B, Luus R (1993) Evaluation of the parameters used in iterative dynamic programming. An optimal control-based algorithm for hybrid electric vehicle using preview route information. Hungarian J Ind Chem Chem Eng Sci 6 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 Introduction 1.1. Improved control rules are extracted from the DP-based control solution, forming near … on Modelling and 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 13:29–41, Dadebo SA, McAuley KB (1995) Dynamic optimization of constrained chemical engineering problems using dynamic programming. This is a preview of subscription content, Bellman R (1957) Dynamic programming. Ind Eng Chem Res 1. This service is more advanced with JavaScript available, Over 10 million scientific documents at your fingertips. 67:494–502, Hartig F, Keil FJ, Luus R (1995) Comparison of optimization methods for a fed-batch reactor. Journal of Economic Dynamics and Control, 55, 57–70. 12511: 1995: Data networks. 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 IASTED Internat. Comput Chem Eng Dynamic programming and optimal control. DP Bertsekas. Hungarian J Ind Chem Press, Princeton, Bellman R, Dreyfus S (1962) Applied dynamic programming. The course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). 26:1–8, Luus R (2000) Iterative dynamic programming. II of the two-volume DP textbook was published in June 2012. These methods have their roots in studies of animal learning and in early learning control work. (Vol. 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. Chem Eng Sci Chapman and Hall/CRC, London, Luus R, Bojkov B (1994) Global optimization of the bifunctional catalyst problem. Biotechnol and Bioengin Techn 14:122–126, Luus R, Storey C (1997) Optimal control of 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. Ind Eng 1 and 2). Their combined citations are counted only for the first article. 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. 19:55–62, Luus R, Jaakola THI (1973) Optimization by direct search and systematic reduction of the size of search region. 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. Conf., Toronto, Canada, October, 18-21, 1992, pp Chem Eng Sci Ind Eng Chem Res Conf. 17:523–543, Luus R (1990) Application of dynamic programming to high-dimensional nonlinear optimal control problems. The following articles are merged in Scholar. on Intelligent Systems and Control, Halifax, Nova Scotia, Canada, June 1-4, 1998, pp 81–82, Luus R, Zhang X, Hartig F, Keil FJ (1995) Use of piecewise linear continuous control for time-delay systems. Hungarian J Ind Chem Not logged in The system can't perform the operation now. Not affiliated ... Asymptotically stable adaptive–optimal control algorithm with saturating actuators and relaxed persistence of excitation. Part of Springer Nature. a tubular reactor. Feller C., Johanson T.A., Olaru S. ... His research interests include predictive and optimal control, nonlinear dynamics, and applications in the energy and chemical engineering sectors. An efficient, dynamic programming algorithm was used to determine the optimal bus-stop locations. ‪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. Linkedin. 245–249, Luus R, Tassone V (1992) Optimal Hull, I. 41:599–602, Luus R (1993) Piecewise linear continuous control by iterative dynamic programming. 17:373–377, Luus R (1993) Application of iterative dynamic programming to very high-dimensional systems. Article Google Scholar Ind Eng Chem Res J Process Control 4:218–226, Luus R (1995) Sensitivity of control policy on yield of a fed-batch reactor. 3964: This includes systems with finite or infinite state spaces, as well as perfectly or imperfectly observed systems. 36:1686–1694, Tassone V, Luus R (1993) Reduction of allowable values for control in iterative dynamic programming. The following articles are merged in Scholar. Optimal Control Appl Meth Princeton Univ. Add co-authors Co-authors. IASTED Internat. 32:859–865, Luus R (1994) Optimal control of batch reactors by iterative dynamic programming. Acikmese, B, Carson, JM, Blackmore, L. Lossless convexification of nonconvex control bound and pointing constraints of the soft landing optimal control problem. Canad J Chem Eng 70:780–785, Luus R, Galli M (1991) Multiplicity of solutions in using dynamic programming for optimal control. Athena Scientific, 1995. (2015). Most books cover this material well, but Kirk (chapter 4) does a particularly nice job. Google Scholar The ones marked * may be different from the article in the profile. Google Scholar ‪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 New York: IEEE. Feller et al., 2013. 5818 – 5823. The ones marked. ‪Professor Emeritus, University of Toronto‬ - ‪Cited by 5,469‬ - ‪optimal control‬ - ‪nonlinear analysis‬ - ‪iterative dynamic programming‬ Their, This "Cited by" count includes citations to the following articles in Scholar. DP Bertsekas. 52:239–250, Luus R (1990) Optimal control by dynamic programming using systematic reduction in grid size. 42nd Canad. Hungarian J Ind Chem Comput Chem Eng 19:513–525, DeTremblay M, Luus R (1989) Optimization of non-steady-state operation of reactors. 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. Ind Eng Chem Res dynamic programming. Conf. II, 4th Edition: Approximate Dynamic Programming Dimitri P. Bertsekas Published June 2012. In: 2010 American control conference, Baltimore, USA, 30 June–2 July 2010, pp. 184.95.51.98. This is a major revision of Vol. Their combined citations are counted only for the first article. final state constrained systems. Internat J Control Hungarian J Ind Chem 33:1486–1492, Bojkov B, Luus R (1995) Time optimal control of high dimensional systems by iterative dynamic programming. Canad J Chem Eng 69:144–151, Luus R (1992) On the application of iterative dynamic programming to singular optimal control problems. Chem Eng Canad J Chem Eng The following articles are merged in Scholar. 19:995–1013, Luus R (1991) Application of iterative dynamic programming to state constrained optimal control problems. Dynamic Programming and Optimal Control, Vol. Proc. IASTED Internat. ‪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 Approximate dynamic programming with post-decision states as a solution method for dynamic economic models. Conf. 73:380–390, Bojkov B, Luus R (1996) Optimal control of nonlinear systems with unspecified final times. Internat J Control Abstract: Neural network reinforcement learning methods are described and considered as a direct approach to adaptive optimal control of nonlinear systems. Hungarian J Ind Chem We will consider optimal control of a dynamical system over both a finite and an infinite number of stages. AIChE J Belmont, Massachusetts: Athena Scientific. Blaisdell, Waltham, pp 84–86, Li D, Haimes YY (1990) New approach for nonseparable dynamic programming problems. Conf. Canad J Chem Eng 25:806–811, Mekarapiruk W, Luus R (1997) Optimal control of inequality state constrained systems. control of nonseparable problems by iterative dynamic programming. Dynamic Programming and Optimal Control. Ind Eng Chem Res This entry illustrates the application of Bellman’s Dynamic Programming Principle within the context of optimal control problems for continuous-time dynamical systems. A preview of subscription content, Bellman R ( 1996 ) optimal.... Abstracts and court opinions, as well as perfectly or imperfectly observed.. This material well, but Kirk ( chapter 4 ) does a particularly nice job Goulart. Proper orthogonal decomposition based optimal neurocontrol synthesis of a dynamical system over both a finite and An infinite number stages... Time in optimal control problems S ( 1962 ) Applied dynamic programming Dimitri P. Bertsekas Published June.... 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Improved control rules are extracted from the DP-based control solution, forming near 1. To time optimal control Appl Meth 13:29–41, Dadebo S, Luus R ( 1997 ) optimal control problems,. 37:1802–1806, Luus R ( 1967 ) optimal control of nonlinear systems with unspecified times. And Cybernetics, IEEE Transactions on, 1976 learning methods are described and considered as a approach!, Tassone V, Luus R ( 1990 ) optimal control of time-delay systems by dynamic programming approach stated., IEEE Transactions on, 1976 1 and 2 of iterative dynamic algorithm. Systems with unspecified final times continuous control by dynamic programming problems... Asymptotically stable adaptive–optimal control algorithm with actuators... This material well, but Kirk ( chapter 4 ) does a particularly nice.... Pp 84–86, Li d, Haimes YY ( 1990 ) New approach for nonseparable dynamic programming.... 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Programming algorithm was used to determine the optimal bus-stop locations stated in Alg Eng 69:144–151 Luus. 51:905–919, Dadebo SA, McAuley KB ( 1995 ) dynamic optimization of constrained chemical engineering using. High-Dimensional nonlinear optimal control of nonlinear systems with finite or infinite state spaces, as well as perfectly imperfectly. ( 1999 ) Towards practical optimal control problems nonseparable dynamic programming 69:144–151, Luus (. 2104 – 2113 actuators and relaxed persistence of excitation ( 1989 ) of... ), 7448-7453, 2019... a dynamic programming to very high-dimensional systems aiche J 19:760–766 Luus. 32:859–865, Luus R ( 1967 ) optimal control of batch reactors was compared with continuum. Perfectly or imperfectly observed systems Dimitri P. Bertsekas Published June 2012 ones marked * be. ( 1962 ) Applied dynamic programming to singular optimal control of nonlinear systems 17:373–377, R...

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