Some recent advances in learning and adaptation for uncertain feedback control systems
DOI10.1002/acs.2475zbMath1332.94007OpenAlexW1726231382MaRDI QIDQ2795789
No author found.
Publication date: 22 March 2016
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/acs.2475
adaptive controlreinforcement learninglearning controlneural controladaptive dynamic programmingdeterministic learning
Learning and adaptive systems in artificial intelligence (68T05) Feedback control (93B52) Adaptive control/observation systems (93C40) Proceedings, conferences, collections, etc. pertaining to information and communication theory (94-06)
Related Items (1)
Cites Work
- Reinforcement learning algorithms with function approximation: recent advances and applications
- Adaptive optimal control for continuous-time linear systems based on policy iteration
- Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms.
- Identification of MIMO Hammerstein models using least squares support vector machines
- Multiperson zero-sum differential games for a class of uncertain nonlinear systems
- Online solution of nonquadratic two-player zero-sum games arising in theH ∞ control of constrained input systems
- Optimized look-ahead tree policies: a bridge between look-ahead tree policies and direct policy search
- Adaptive critic design with graph Laplacian for online learning control of nonlinear systems
- Adaptive neural network-based optimal control of nonlinear continuous-time systems in strict-feedback form
- The use of learning in fast adaptation algorithms
- Learning from adaptive neural network output feedback control of uncertain ocean surface ship dynamics
- Rapid isolation of small oscillation faults via deterministic learning
- Adaptive neuro-predictive control for redundant robot manipulators in presence of static and dynamic obstacles: A Lyapunov-based approach
- A model-based PID controller for Hammerstein systems using B-spline neural networks
- Robust exponential stability andH ∞ control for switched neutral-type neural networks
- Offset-free multistep nonlinear model predictive control under plant-model mismatch
- Non-fragile robust stabilization andH ∞ control for uncertain stochastic time delay systems with Markovian jump parameters and nonlinear disturbances
- Algorithms for Reinforcement Learning
- Stable adaptive neural control scheme for nonlinear systems
- Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles
- Nonlinear identification and control. A neural network approach
This page was built for publication: Some recent advances in learning and adaptation for uncertain feedback control systems
