Abstract
The present state of development of a new branch of soft computing (SC) developed for the adaptive control of a special class of nonlinear coupled MIMO systems is reported. Its uniform structures are obtained from certain Lie groups, unlike that of the traditional SC approaches. The advantages include: a priori known, very much reduced in size, and increased in lucidity; and the parameter tuning or learning is replaced by a simple and short explicit algebraic procedure. The only disadvantage is a limited circle of applicability. Convergence considerations are also discussed for MIMO and SISO systems. Simulation examples are presented for the control of an inverted pendulum by using the generalized Lorentzian matrices. It is concluded that the method is promising and probably imposes acceptable convergence requirements in many practical cases.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
