Adaptive tuning of the fuzzy controller for robots
Fuzzy Sets and Systems
Neural Network Control of Robot Manipulators and Nonlinear Systems
Neural Network Control of Robot Manipulators and Nonlinear Systems
Dynamic balance of a biped robot using fuzzy reinforcement learning agents
Fuzzy Sets and Systems - Special issue: Fuzzy set techniques for intelligent robotic systems
A reinforcement learning adaptive fuzzy controller for robots
Fuzzy Sets and Systems - Theme: Modeling and control
A generic architecture for adaptive agents based on reinforcement learning
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
Mixed H 2/H∞ autopilot design of bank-to-turn missiles using fuzzy basis function networks
Fuzzy Sets and Systems
An approach to tune fuzzy controllers based on reinforcement learning for autonomous vehicle control
IEEE Transactions on Intelligent Transportation Systems
Optimal design of CMAC neural-network controller for robotmanipulators
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
GA-based fuzzy reinforcement learning for control of a magneticbearing system
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Reinforcement learning to adaptive control of nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Multilayer neural-net robot controller with guaranteed tracking performance
IEEE Transactions on Neural Networks
Controlling chaos by GA-based reinforcement learning neural network
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
An adaptive H∞ controller design for bank-to-turn missiles using ridge Gaussian neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Accuracy analysis for wavelet approximations
IEEE Transactions on Neural Networks
Multidimensional wavelet frames
IEEE Transactions on Neural Networks
IEEE Transactions on Fuzzy Systems
Radial basis function neural network-based adaptive critic control of induction motors
Applied Soft Computing
Adaptive fuzzy wavelet neural controller design for chaos synchronization
Expert Systems with Applications: An International Journal
Adaptive PI Hermite neural control for MIMO uncertain nonlinear systems
Applied Soft Computing
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In this paper, an H"~ reinforcement learning controller based on a fuzzy wavelet network (FWN) is proposed to perform a position-tracking task for a robot manipulator. The proposed controller adopts the actor-critic reinforcement learning control scheme. The primary reinforcement is generated by a performance measurement unit. The learning unit of the controller consists of an associative search network (ASN) and an adaptive critic network (ACN). The ASN is employed to approximate unknown nonlinear functions in the robot dynamics and the ACN is utilized to construct a more informative signal than the primary reinforcement alone to tune the ASN. Since the FWN can provide accurate function approximation, both the ASN and ACN are implemented by the FWN. In addition, the proposed controller requires no prior knowledge about the dynamics of the robot manipulators and no off-line learning phase. Moreover, by employing the H"~ control theory, it is possible to attenuate the effects of the approximation errors of the FWNs and external disturbances to a prescribed level. In contrast to the general H"~ problem, only simple equations, rather than Riccati equations, should be solved. Computer simulations on a SCARA robot with 3 degrees-of-freedom confirm the effectiveness of the FWN-based controller with H"~ stabilization.