Bio-inspired Algorithms to Improve Neural Controllers for Discrete-time Unknown Nonlinear System
Abstract
Chapter 7 presents the use of bio-inspired algorithms to improve neural controllers for discrete-time unknown nonlinear systems utilizing two approaches. First, a Neural-PSO Second-Order Sliding Mode Controller approach is applied to control a class of unknown nonlinear systems; second, a Neural-BFO Second-Order Sliding Mode Controller is incorporated into the same class of unknown nonlinear systems. In order to show applicability of these controllers, they are applied to a Van der Pol Oscillator and a comparative analysis is undertaken to establish conclusions about the development of both controllers with respect to ...
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