International Journal of Control, Automation and Systems 2012; 10(4): 849-854
Published online August 14, 2012
https://doi.org/10.1007/s12555-012-0423-4
© The International Journal of Control, Automation, and Systems
This paper studies the fault tolerant control (FTC) problem for a class of polynomial nonlinear discrete-time systems with guaranteed H∞ performance in the presence of actuator faults. The con-cerned fault is considered as a multi-model of the typical aberration in actuators’ effectiveness. A quadratic-like polynomial Lyapunov function is presented for the H∞ specification. The main contribution of this paper is that the effect of the nonlinear terms appear in FTC analysis is described as an index in order to transform the controller design into a semi-definite programming (SDP). A numerical example is given to verify the applicability of this new approach for the nonlinear FTC synthesis.
Keywords Fault tolerant control, H∞ performance, nonlinear systems, semi-definite programming, state feedback control, sum of squares.
International Journal of Control, Automation and Systems 2012; 10(4): 849-854
Published online August 1, 2012 https://doi.org/10.1007/s12555-012-0423-4
Copyright © The International Journal of Control, Automation, and Systems.
Xian-Ji Meng and Guang-Hong Yang
Shenyang Normal University, China
This paper studies the fault tolerant control (FTC) problem for a class of polynomial nonlinear discrete-time systems with guaranteed H∞ performance in the presence of actuator faults. The con-cerned fault is considered as a multi-model of the typical aberration in actuators’ effectiveness. A quadratic-like polynomial Lyapunov function is presented for the H∞ specification. The main contribution of this paper is that the effect of the nonlinear terms appear in FTC analysis is described as an index in order to transform the controller design into a semi-definite programming (SDP). A numerical example is given to verify the applicability of this new approach for the nonlinear FTC synthesis.
Keywords: Fault tolerant control, H∞ performance, nonlinear systems, semi-definite programming, state feedback control, sum of squares.
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