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Dean of School of AutomationFounding Director of Institute of Smart Systems,Chongqing University, China |
Prof. Yong-Duan Song received his Ph.D. degree in electrical and computer engineering from Tennessee Technological University, Cookeville, USA，in 1992. He held a tenured Full Professor position with North Carolina A&T State University, Greensboro, from 1993 to 2008 and a Langley Distinguished Professor position with the National Institute of Aerospace, Hampton, VA, from 2005 to 2008. He is now the Dean of School of Automation, Chongqing University, and the Founding Director of the Institute of Smart Systems, Chongqing University. His research interest covers biologically inspired control, artificial intelligent and robotic systems, and fault-tolerant control with applications. Prof. Song has received several competitive research awards from the National Science Foundation, the National Aeronautics and Space Administration, the Army Research Office, and the Office of Naval Research.
Some Critical Issues on Control of Constrained Dynamic Systems
Most practical systems operate under certain constraints, posing significant challenges for control design. Current Barrier Lyapunov Function (BLF) and Integral BLF based control solutions are contingent upon the so-called “feasibility conditions”, rendering the solution rather costly and seldom practical. In this talk, we examine several critical related issues and introduce a new solution that completely removes such restrictive conditions. Firstly, we construct a nonlinear state-dependent function (NSDF) that purely depends on constrained states to cope with full state and asymmetric constraints directly; Secondly, we introduce a new coordinate transformation and integrate it into each step of DSC-based backstepping design, completely circumventing the demanding feasibility conditions on virtual controllers. Consequently, there is no need for the tedious off-line computations for feasibility verification, allowing the designer more freedom to select design parameters, enabling the system with a larger range of initial conditions to be handled, and rendering the solution more user-friendly in design and implementation.