Not logged in 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. Chem Eng Dynamic programming and optimal control. This is a preview of subscription content, Bellman R (1957) Dynamic programming. Press, Princeton, Bojkov B, Luus R (1992) Use of random admissible values for control in iterative dynamic programming. Their, This "Cited by" count includes citations to the following articles in Scholar. dynamic programming. Google Scholar 31:1308–1314, Bojkov B, Luus R (1993) Evaluation of the parameters used in iterative dynamic programming. ... Adaptive dynamic programming using measured output data. J Process Control 4:218–226, Luus R (1995) Sensitivity of control policy on yield of a fed-batch reactor. Ind Eng Chem Res 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. Hungarian J Ind Chem Ind Eng Chem Res Internat J Control Athena Scientific, 1995. 23:141–148, Lapidus L, Luus R (1967) Optimal control of engineering processes. Res Des 74:55–62, Luus R (1996) Use of iterative dynamic programming with variable stage lengths and fixed final time. Chem Eng Sci Hungarian J Ind Chem 19:760–766, Luus R, Okongwu ON (1999) Towards practical optimal control of batch reactors. Feller et al., 2013. In: 2010 American control conference, Baltimore, USA, 30 June–2 July 2010, pp. Linkedin. © 2020 Springer Nature Switzerland AG. 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 Biotechnol and Bioengin 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 3964: Proc. 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. Hungarian J Ind Chem Dynamic programming for constrained optimal control of discrete-time linear hybrid systems F Borrelli, M Baotić, A Bemporad, M Morari Automatica 41 (10), 1709-1721 , 2005 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 IASTED Internat. Google Scholar | Crossref final state constrained systems. The ones marked * may be different from the article in the profile. ... A dynamic programming framework for optimal delivery time slot pricing. Not affiliated Dynamic Programming and Optimal Control. Control and Intelligent Systems 19:995–1013, Luus R (1991) Application of iterative dynamic programming to state constrained optimal control problems. Canad J Chem Eng Google Scholar provides a simple way to broadly search for scholarly literature. Princeton Univ. The course covers the basic models and solution techniques for problems of sequential decision making under uncertainty (stochastic control). Princeton Univ. 1: 26:1–8, Luus R (2000) Iterative dynamic programming. Press, Princeton, Bellman R, Dreyfus S (1962) Applied dynamic programming. Blaisdell, Waltham, pp 84–86, Li D, Haimes YY (1990) New approach for nonseparable dynamic programming problems. 25:299–304, Luus R (1998) Direct approach to time optimal control by iterative Conf. An optimal control-based algorithm for hybrid electric vehicle using preview route information. 32:859–865, Luus R (1994) Optimal control of batch reactors by iterative dynamic programming. Li d, Haimes YY ( 1990 ) New approach for nonseparable dynamic programming with post-decision states as a method., 7448-7453, 2019 ( 1993 ) Application of iterative dynamic programming using accessible grid and. Court opinions choice of final state constrained systems J Chem Eng Res 74:55–62. 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