Abstract
A new approach to design of smart intelligent control systems for advanced robotics and mechatronics is developed. The principle of minimum entropy production in a control object motion and a control system as a fitness function for genetic algorithm is used. Simulation results of a smart robust control of non-linear systems described as coupled oscillators are presented.
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Ulyanov, V., Panfilov, S., Ulyanov, S. et al. Principle of minimum entropy production in applied soft computing for advanced intelligent robotics and mechatronics. Soft Computing 4, 141–146 (2000). https://doi.org/10.1007/s005000000034
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DOI: https://doi.org/10.1007/s005000000034