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Genetic algorithm and particle swarm optimization are two methods which can be used to find the global extremum of cost functions. The solely performance of each method and their specific characteristics in finding the global extremum have been giving the idea of hybridization of these two methods to many researchers. In this paper a new hybrid algorithm(More)
In this paper the design of an optimal nonlinear H<inf>&#x221E;</inf> (NL-H<inf>&#x221E;</inf>) controller for flexible joint robot (FJR) with bounded input control and fast tracking is presented. Moreover, FJR robot link positions are controlled without any undershoot and overshoot. Also, this paper discusses the robust L2-gain performance synthesis(More)
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