Currently displaying 1 – 2 of 2

Showing per page

Order by Relevance | Title | Year of publication

A matrix inequality based design method for consensus problems in multi-agent systems

Shohei OkunoJoe ImaeTomoaki Kobayashi — 2009

International Journal of Applied Mathematics and Computer Science

In this paper, we study a consensus problem in multi-agent systems, where the entire system is decentralized in the sense that each agent can only obtain information (states or outputs) from its neighbor agents. The existing design methods found in the literature are mostly based on a graph Laplacian of the graph which describes the interconnection structure among the agents, and such methods cannot deal with complicated control specification. For this purpose, we propose to reduce the consensus...

Hybrid stabilization of discrete-time LTI systems with two quantized signals

Guisheng ZhaiYuuki MatsumotoXinkai ChenJoe ImaeTomoaki Kobayashi — 2005

International Journal of Applied Mathematics and Computer Science

We consider stabilizing a discrete-time LTI (linear time-invariant) system via state feedback where both the quantized state and control input signals are involved. The system under consideration is stabilizable and stabilizing state feedback has been designed without considering quantization, but the system's stability is not guaranteed due to the quantization effect. For this reason, we propose a hybrid quantized state feedback strategy asymptotically stabilizing the system, where the values of...

Page 1

Download Results (CSV)