Title :
Observer error linearization for sampled-data systems
Author :
Hung, S. T C ; Grizzle, J.W.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
The effects of time sampling on the solvability conditions for the observer linearization design methodology are investigated. It is shown that the class of systems for which this design method can be applied for an open set of sampling times is quite small. In particular, when the dimension of the state space is two, it consists only of those systems that are state-equivalent to a linear system. The practical implication is that digital implementations of this methodology will have to be approximate
Keywords :
State estimation; linearisation techniques; sampled data systems; state estimation; observer error linearisation; sampled-data systems; state estimation; Computer errors; Design methodology; Error correction; Linear systems; Nonlinear systems; Robustness; Sampling methods; State-space methods; Sufficient conditions; Time varying systems;
Conference_Titel :
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on
Conference_Location :
Tampa, FL
DOI :
10.1109/CDC.1989.70080