Dynamic Programming and Suboptimal Control: A Survey from ADP to MPC
暂无分享,去创建一个
[1] Hans S. Witsenhausen,et al. Inequalities for the performance of suboptimal uncertain systems , 1969, Autom..
[2] H. Witsenhausen. On Performance Bounds for Uncertain Systems , 1970 .
[3] D. Bertsekas. Control of uncertain systems with a set-membership description of the uncertainty , 1971 .
[4] D. Bertsekas,et al. On the minimax reachability of target sets and target tubes , 1971 .
[5] D. Bertsekas. Infinite time reachability of state-space regions by using feedback control , 1972 .
[6] C. White,et al. Application of Jensen's inequality to adaptive suboptimal design , 1980 .
[7] Mary W. Cooper,et al. Dynamic Programming and the Calculus of Variations , 1981 .
[8] Jeffrey M. Jaffe,et al. Algorithms for finding paths with multiple constraints , 1984, Networks.
[9] E. Martins. On a multicriteria shortest path problem , 1984 .
[10] E. Gilbert,et al. Optimal infinite-horizon feedback laws for a general class of constrained discrete-time systems: Stability and moving-horizon approximations , 1988 .
[11] J. Deller. Set membership identification in digital signal processing , 1989, IEEE ASSP Magazine.
[12] Bruce Abramson,et al. Expected-Outcome: A General Model of Static Evaluation , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Chelsea C. White,et al. Multiobjective A* , 1991, JACM.
[14] Tamer Bąar. Optimum performance levels for minimax filters, predictors and smoothers , 1991 .
[15] Stephen P. Boyd,et al. Set-membership identification of systems with parametric and nonparametric uncertainty , 1992 .
[16] José Rodellar,et al. Adaptive Predictive Control: From the Concepts to Plant Optimization , 1995 .
[17] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[18] Gerald Tesauro,et al. On-line Policy Improvement using Monte-Carlo Search , 1996, NIPS.
[19] John N. Tsitsiklis,et al. Neuro-Dynamic Programming , 1996, Encyclopedia of Machine Learning.
[20] John N. Tsitsiklis,et al. Rollout Algorithms for Combinatorial Optimization , 1997, J. Heuristics.
[21] James D Christodouleas. Solution methods for multiprocessor network scheduling problems, with application to railroad operations , 1997 .
[22] Andrew G. Barto,et al. Reinforcement learning , 1998 .
[23] Dimitri P. Bertsekas,et al. Rollout Algorithms for Stochastic Scheduling Problems , 1999, J. Heuristics.
[24] Franco Blanchini,et al. Set invariance in control , 1999, Autom..
[25] Jay H. Lee,et al. Model predictive control: past, present and future , 1999 .
[26] John N. Tsitsiklis,et al. Actor-Critic Algorithms , 1999, NIPS.
[27] Nicola Secomandi,et al. Comparing neuro-dynamic programming algorithms for the vehicle routing problem with stochastic demands , 2000, Comput. Oper. Res..
[28] James B. Rawlings,et al. Tutorial overview of model predictive control , 2000 .
[29] David Q. Mayne,et al. Constrained model predictive control: Stability and optimality , 2000, Autom..
[30] R. Musmanno,et al. Label Correcting Methods to Solve Multicriteria Shortest Path Problems , 2001 .
[31] John N. Tsitsiklis,et al. Simulation-based optimization of Markov reward processes , 2001, IEEE Trans. Autom. Control..
[32] David Q. Mayne,et al. Control of Constrained Dynamic Systems , 2001, Eur. J. Control.
[33] Nicola Secomandi,et al. A Rollout Policy for the Vehicle Routing Problem with Stochastic Demands , 2001, Oper. Res..
[34] Jan M. Maciejowski,et al. Predictive control : with constraints , 2002 .
[35] Dimitris Bertsimas,et al. An Approximate Dynamic Programming Approach to Multidimensional Knapsack Problems , 2002, Manag. Sci..
[36] Michael C. Ferris,et al. Neuro-Dynamic Programming for Radiation Treatment Planning , 2002 .
[37] S. Joe Qin,et al. A survey of industrial model predictive control technology , 2003 .
[38] Francesca Guerriero,et al. A cooperative parallel rollout algorithm for the sequential ordering problem , 2003, Parallel Comput..
[39] Frank Allgöwer,et al. State and Output Feedback Nonlinear Model Predictive Control: An Overview , 2003, Eur. J. Control.
[40] Benjamin Van Roy,et al. The Linear Programming Approach to Approximate Dynamic Programming , 2003, Oper. Res..
[41] Ioana Popescu,et al. Revenue Management in a Dynamic Network Environment , 2003, Transp. Sci..
[42] Vijay R. Konda,et al. OnActor-Critic Algorithms , 2003, SIAM J. Control. Optim..
[43] Krishna R. Pattipati,et al. Rollout strategies for sequential fault diagnosis , 2003, IEEE Trans. Syst. Man Cybern. Part A.
[44] Robert Givan,et al. Congestion control using policy rollout , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).
[45] Nicola Secomandi,et al. Analysis of a Rollout Approach to Sequencing Problems with Stochastic Routing Applications , 2003, J. Heuristics.
[46] Andrew G. Barto,et al. Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts , 2002, Machine Learning.
[47] Michael C. Ferris,et al. Digital Object Identifier (DOI) 10.1007/s10107-004-0530-y , 2004 .
[48] Benjamin Van Roy,et al. Solitaire: Man Versus Machine , 2004, NIPS.
[49] Robert Givan,et al. Parallel Rollout for Online Solution of Partially Observable Markov Decision Processes , 2004, Discret. Event Dyn. Syst..
[50] Benjamin Van Roy,et al. On Constraint Sampling in the Linear Programming Approach to Approximate Dynamic Programming , 2004, Math. Oper. Res..
[51] Dario Pacciarelli,et al. A Rollout Metaheuristic for Job Shop Scheduling Problems , 2004, Ann. Oper. Res..
[52] D. Bertsekas. Rollout Algorithms for Constrained Dynamic Programming , 2005 .
[53] D. Bertsekas. Rollout Algorithms for Constrained Dynamic Programming 1 , 2005 .
[54] A. Rantzer. Relaxed dynamic programming in switching systems , 2006 .
[55] Daiheng Ni,et al. Forty-Fifth Annual Allerton Conference on Communication, Control, and Computing , 2007 .