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In this paper, adaptive tracking control is investigated for a class of nonlinear time-delay systems with actuator saturation nonlinearity. The uncertain time-delay function is bounded by a nonlinear function with unknown coefficients. The actuator saturation nonlinearity is assumed to be nonsymmetric and unknown. Neural network approximation techniques are utilized to compensate the saturation nonlinearity...
In this paper, the near-optimal control problem for a class of nonlinear time-delay systems with control constraints is solved by a novel Heuristic Dynamic Programming (HDP) iteration algorithm. First, a nonquadratic performance functional is introduced to overcome the control constraints, and then a new iterative HDP algorithm which contains local and global optimization searching processes, is developed...
A nonlinear internal model control based on transformed fuzzy hyperbolic model is proposed for unknown nonlinear discrete-time dynamical system in this paper. The internal model controller is derived from the transformed fuzzy hyperbolic model. The transform is based on property of hyperbolic tangent function and reduces the complexity of controller design. The robustness of system is guaranteed by...
A novel adaptive-critic-based NN controller using reinforcement learning is developed for a class of nonlinear systems with non-symmetric dead-zone inputs. The adaptive critic NN controller uses two NNs: the critic NN is used to approximate the strategic utility function, and the output of action NN is used to approximate the unknown nonlinear function and to minimize the strategic utility function...
The infinite-horizon optimal control problem of nonlinear discrete-time systems with actuator saturation is considered in this paper. In order to deal with actuator saturation, a novel nonquadratic functional is introduced, and the constrained generalized Hamilton-Jacobi-Bellman (GHJB) equation and Hamilton-Jacobi-Bellman (HJB) equation for nonlinear discrete-time systems are derived in terms of non-quadratic...
A novel T-S fuzzy model-based method is proposed for controlling a class of chaotic (hyperchaotic) systems with uncertain parameters. The interval matrix theory is applied to describe the parametric uncertainty. The T-S fuzzy model is employed for accurately modeling the chaotic (hyperchaotic) systems. Based on the T-S fuzzy model, the parallel distributed compensation (PDC) technique is applied to...
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