Intelligent optimal control of robotic manipulators using neural networks

DOI10.1016/S0005-1098(00)00045-5zbMath1002.93039MaRDI QIDQ5926270

No author found.

Publication date: 13 May 2001

Published in: Automatica (Search for Journal in Brave)

zbMATH Keywords

stabilityoptimal controlHamilton-Jacobi-Bellman equationadaptive controlalgebraic Riccati equationautomated systemsneural networkrobotic systems

Mathematics Subject Classification ID

Stabilization of systems by feedback (93D15) Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Linear-quadratic optimal control problems (49N10)

Related Items (12)

Comments on ``Intelligent optimal control of robotic manipulator using neural networks ⋮ SympOCnet: Solving Optimal Control Problems with Applications to High-Dimensional Multiagent Path Planning Problems ⋮ Neural integrated control for a free-floating space robot with suddenly changing parameters ⋮ A neural network solution for fixed-final time optimal control of nonlinear systems ⋮ Robust min-max optimal control design for systems with uncertain models: a neural dynamic programming approach ⋮ Neural network architectures using min-plus algebra for solving certain high-dimensional optimal control problems and Hamilton-Jacobi PDEs ⋮ Adaptive neural network-based visual servoing control for manipulator with unknown output nonlinearities ⋮ Asymptotic optimal control of uncertain nonlinear Euler-Lagrange systems ⋮ Design of optimal hybrid position/force controller for a robot manipulator using neural networks ⋮ Adaptive control of robot manipulators using fuzzy logic systems under actuator constraints ⋮ INTELLIGENT OPTIMAL CONTROL OF ROBOTIC MANIPULATORS USING WAVELETS ⋮ Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach

Uses Software

• Matlab
• Control System Toolbox

Cites Work

• Neural networks for control systems - a survey
• A new adaptive law for robust adaptation without persistent excitation
• Universal approximation bounds for superpositions of a sigmoidal function
• Quadratic optimization of motion coordination and control
• Approximation by superpositions of a sigmoidal function

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