Guaranteed Cost Control for Uncertain Neutral Systems with a Minimal Order Observer

This paper presents a design scheme of a minimal order observer-based guaranteed cost controller for uncertain neutral systems, in which some state variables can not be measured. The uncertainties are assumed to be norm-bounded. The initial state is assumed unknown but their mean and covariance are assumed known. A sufficient condition for robust stability analysis and robust stabilization are derived via linear matrix inequalities (LMIs). To show the advantage of the proposed method, a numerical example is given

Asymptotic properties of zeros of sampled-data systems,”

ABSTRACT When a continuous-time linear system is discretized using

モデル キハンガタ テキオウ シュホウ ニヨル ノウドウテキ シンドウ セイギョ

This paper deals with the active vibration control problem when the system is subjected to unknown deterministic disturbances which are generated by a linear dynamical system. A model reference adaptive technique is applied for control design. This algorithm can be implemented if only the upper bound of the degree of the disturbance dynamics is known. In addition, the solvability of the Diophantine equation is guaranteed. These facts indicate that this scheme is superior to the adaptive pole placement controller incorporating the internal model principle. Experimental results show the effectiveness of the control method presented in this paper.収録刊行