http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Construction method of Lyapunov functions based on eigen analysis
Yuki Nishimura,Yuh Yamashita,Kanya Tanaka,Yuji Wakasa 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, we show discretized Lyapunov functions for various nonlinear dynamical systems by using the method that the authors have proposed. We use Kushner’s scheme of difference approximation with directions and Alcaraz et al.’s quantization of Markov processes to approximate Lyapunov equations by linear Schr¨odinger-like equations. We construct time-invariant functions concerned with the solutions to Schro¨dinger-like equations. Then, we show the effectiveness of the method via an example.
MPC-based Co-design of Control and Routing for Wireless Sensor and Actuator Networks
Dai Satoh,Koichi Kobayashi,Yuh Yamashita 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.3
A wireless sensor and actuator network (WSAN) is a class of networked control systems. In WSANs, sensors and actuators are located in a distributed way, and communicate to controllers through a wireless communication network such as a multi-hop network. In this paper, we propose a model predictive control (MPC) method for co-design of control and routing of WSANs. MPC is an optimal control strategy based on numerical optimization. The control input is calculated by solving the finite-time optimal control problem at each discrete time. In the proposed method, a WSAN is modeled by a switched linear system. In the finite-time optimal control problem, a control input and a mode corresponding to a communication path are optimized simultaneously. The proposed method is demonstrated by a numerical example.