Title :
Persistent excitation in bilinear systems
Author :
Dasgupta, Souta ; Shrivastava, Yash ; Krenzer, George
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Abstract :
Discrete-time, strongly observable bilinear systems are studied in order to obtain a condition on the system input which guarantees persistent excitation. The condition derived assumes that the system is fundamentally identifiable, i.e. the parameters to be estimated uniquely define the underlying input/output description. An algebraic characterization of lack of fundamental identifiability using multidimensional polynomials is also given
Keywords :
adaptive systems; discrete time systems; identification; linear systems; nonlinear systems; adaptive systems; algebraic characterization; bilinear systems; identification; linear systems; multidimensional polynomials; nonlinear systems; persistent excitation; Chemical processes; Convergence; Discrete time systems; Multidimensional systems; Nonlinear systems; Parameter estimation; Polynomials; Robots; Robustness; Vectors;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70506