Title :
Adaptive symbolic feedback for one-dimensional discrete-time uncertain systems
Author :
Hayakawa, Takeshi
Author_Institution :
Dept. of Mech. & Environ. Inf., Tokyo Inst. of Technol., Tokyo, Japan
Abstract :
An adaptive control framework for stabilization of 1-dimensional linear uncertain discrete-time dynamical systems with symbolic feedback is developed. The plant output is assumed to be quantized and only its symbolic quantity is fed back to the controller. In the case of multi-dimensional systems, ideal system matrix is constructed so that the approach for the scalar systems can be applied in separate subspaces in the state space.
Keywords :
adaptive control; discrete time systems; feedback; linear systems; matrix algebra; stability; state-space methods; uncertain systems; 1-dimensional linear uncertain discrete-time dynamical systems; adaptive symbolic feedback control framework; multidimensional systems; quantized plant output; scalar systems; stabilization; state space; symbolic quantity; system matrix; Adaptive control; Closed loop systems; Discrete-time systems; Quantization (signal); Trajectory; Uncertain systems;
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
