Global Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems

Adaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems

Two phenomena can produce chattering: switching of input control signal and the large amplitude of this switching (switching gain). To remove the switching of input control signal, dynamic sliding mode control (DSMC) is used. In DSMC switching is removed due to the integrator which is placed before the plant. However, in DSMC the augmented system (system plus the integrator) is one dimension bi...

Online optimal control of unknown discrete-time nonlinear systems by using time-based adaptive dynamic programming

In this paper, an online optimal control scheme for a class of unknown discrete-time (DT) nonlinear systems is developed. The proposed algorithm using current and recorded data to obtain the optimal controller without the knowledge of system dynamics. In order to carry out the algorithm, a neural network (NN) is constructed to identify the unknown system. Then, based on the estimated system mod...

Neural adaptive control for nonlinear multiple time scale dynamic systems

Adaptive control of nonlinear systems has been an active area in recent years, but it is difficult to control unknown plants. A common approach to deal with this problem is to utilize the simultaneous identification technique. Neural networks have been employed in the identification and control of unknown nonlinear systems owing to their massive parallelism, fast adaptation and learning capabil...

Neural adaptive control for nonlinear multiple time scale dynamic systems

Dynamic Adaptive Partitioning for Nonlinear Time Series Dynamic Adaptive Partitioning for Nonlinear Time Series

We propose a dynamic adaptive partitioning scheme for nonparametric analysis of stationary nonlinear time series with values in IR d (d 1). We use information from past values to construct adaptive partitioning in a dynamic fashion which is then diierent from the more common static schemes in the regression setup. The idea of dynamic partitioning is novel. We make it constructive by proposing a...