Extremum seeking for optimal control problems with unknown time‐varying systems and unknown objective functions
暂无分享,去创建一个
[1] Eugenio Schuster,et al. Mixing enhancement in 2D magnetohydrodynamic channel flow by extremum seeking boundary control , 2009, 2009 American Control Conference.
[2] Mouhacine Benosman,et al. Multi‐parametric extremum seeking‐based iterative feedback gains tuning for nonlinear control , 2016 .
[3] Frank L. Lewis,et al. Adaptive optimal control for continuous-time linear systems based on policy iteration , 2009, Autom..
[4] Frank L. Lewis,et al. Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics , 2014, Autom..
[5] M. Walker,et al. Design and simulation of extremum-seeking open-loop optimal control of current profile in the DIII-D tokamak , 2008 .
[6] Simon Michalowsky,et al. A family of extremum seeking laws for a unicycle model with a moving target: theoretical and experimental studies , 2018, 2018 European Control Conference (ECC).
[7] Miroslav Krstic,et al. Iterative learning control based on extremum seeking , 2016, Autom..
[8] Miroslav Krstic,et al. Minimum-Seeking for CLFs: Universal Semiglobally Stabilizing Feedback Under Unknown Control Directions , 2013, IEEE Transactions on Automatic Control.
[9] Gökhan M. Atinç,et al. Extremum seeking-based adaptive control for electromagnetic actuators , 2015, Int. J. Control.
[10] Christian Ebenbauer,et al. On extremum seeking controllers based on the Lie bracket approximation in domains with obstacles , 2018, PAMM.
[11] Xin Zhang,et al. Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method , 2011, IEEE Transactions on Neural Networks.
[12] Qinmin Yang,et al. Reinforcement Learning Controller Design for Affine Nonlinear Discrete-Time Systems using Online Approximators , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[13] Zhong-Ping Jiang,et al. Output-feedback adaptive optimal control of interconnected systems based on robust adaptive dynamic programming , 2016, Autom..
[14] Mark Haring,et al. Extremum-seeking control for nonlinear systems with periodic steady-state outputs , 2013, Autom..
[15] Thomas P. Wangler,et al. RF linear accelerators , 2008 .
[16] Alexander Scheinker,et al. Simultaneous stabilization and optimization of unknown, time-varying systems , 2013, 2013 American Control Conference.
[17] Miroslav Krstic,et al. Batch-to-Batch Finite-Horizon LQ Control for Unknown Discrete-Time Linear Systems Via Stochastic Extremum Seeking , 2017, IEEE Transactions on Automatic Control.
[18] Miroslav Krstic,et al. Finite-horizon LQ control for unknown discrete-time linear systems via extremum seeking , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[19] Sarangapani Jagannathan,et al. Optimal control of unknown affine nonlinear discrete-time systems using offline-trained neural networks with proof of convergence , 2009, Neural Networks.
[20] Qinglai Wei,et al. Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming , 2012, Autom..
[21] Denis Dochain,et al. A proportional-integral extremum-seeking controller design technique , 2017, Autom..
[22] Emanuele Garone,et al. Newton-based extremum seeking: A second-order Lie bracket approximation approach , 2019, Autom..
[23] Mouhacine Benosman,et al. Learning‐based iterative modular adaptive control for nonlinear systems , 2018, International Journal of Adaptive Control and Signal Processing.
[24] Zhong-Ping Jiang,et al. Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics , 2012, Autom..
[25] M. Phan,et al. Linear quadratic optimal learning control (LQL) , 2000 .
[26] Milos S. Stankovic,et al. Lie bracket approximation of extremum seeking systems , 2011, Autom..
[27] Alexander Scheinker,et al. Constrained extremum seeking stabilization of systems not affine in control , 2018 .
[28] Denis Dochain,et al. Flatness-Based Extremum-Seeking Control Over Periodic Orbits , 2007, IEEE Transactions on Automatic Control.
[29] Raik Suttner. Extremum seeking control with an adaptive dither signal , 2019, Autom..
[30] Miroslav Krstic,et al. Power Optimization for Photovoltaic Microconverters Using Multivariable Newton-Based Extremum Seeking , 2012, IEEE Transactions on Control Systems Technology.
[31] A.G. Alleyne,et al. A survey of iterative learning control , 2006, IEEE Control Systems.
[32] Suguru Arimoto,et al. Bettering operation of Robots by learning , 1984, J. Field Robotics.
[33] Denis Dochain,et al. A constrained extremum‐seeking control approach , 2015 .
[34] Miroslav Krstic,et al. Newton-based stochastic extremum seeking , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[35] Dominique Bonvin. Control and optimization of batch processes , 2006 .
[36] Sanjoy K. Mitter,et al. Conjugate convex functions, duality, and optimal control problems I: Systems governed by ordinary differential equations , 1970, Information Sciences.
[37] Christian Ebenbauer,et al. On a class of generating vector fields for the extremum seeking problem: Lie bracket approximation and stability properties , 2017, Autom..
[38] Alexander Scheinker,et al. Bounded extremum seeking with discontinuous dithers , 2016, Autom..
[39] Zhiyong Sun,et al. Formation Shape Control Based on Distance Measurements Using Lie Bracket Approximations , 2018, SIAM J. Control. Optim..
[40] J. Y. Choi,et al. Adaptive iterative learning control of uncertain robotic systems , 2000 .
[41] R. Rockafellar. Integrals which are convex functionals. II , 1968 .
[42] Xiang Li,et al. Iterative learning impedance control for rehabilitation robots driven by series elastic actuators , 2018, Autom..
[43] Simon Michalowsky,et al. Swinging up the Stephenson-Kapitza pendulum , 2013, 52nd IEEE Conference on Decision and Control.
[44] Kevin L. Moore,et al. Iterative Learning Control: Brief Survey and Categorization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[45] Frank L. Lewis,et al. Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[46] Frank L. Lewis,et al. Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning , 2014, Autom..
[47] M. Yamakita,et al. Adaptive output optimal control algorithm for unknown system dynamics based on policy iteration , 2010, Proceedings of the 2010 American Control Conference.