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This paper presents adaptive neural tracking control for a class of non-affine pure-feedback systems with multiple unknown state time-varying delays. To overcome the design difficulty from non-affine structure of pure-feedback system, mean value theorem is exploited to deduce affine appearance of state variables as virtual controls , and of the actual control . The separation technique is introduced...
This paper presents adaptive neural tracking control for a class of non-affine pure-feedback systems with multiple unknown state time-varying delays. The separation technique is introduced to decompose unknown functions of all time-varying delayed states into a series of continuous functions of each delayed state. A novel Lyapunov-Krasovskii functional is employed to compensate for the unknown function...
This paper is concerned with the output tracking control problem for a class of nonlinear switched cascade systems with external disturbances under some average dwell-time based switching laws. The problem is solved based on the variable structure control technique and the characteristic of the system. The variable structure controllers and the average dwell-time are designed under which the output...
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