ABSTRACT
A dynamic backpropagation training algorithm for an adaptive fuzzy gain-scheduling feedback control scheme is developed in this chapter. This novel design methodology uses a Takagi-Sugeno fuzzy system to represent the fuzzy relationship between the scheduling variables and controller parameters. Mach number and angle of attack are used as measured, time-varying exogenous scheduling variables injected into the guidance law. By incorporating scheduling parameter variation information, the adaptation law for controller parameters is derived. Results from extensive simulation studies show that the presented approach offers satisfactory controlled system performance.
