Satoshi Ohdaira

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In adaptive output feedback control based on almost strictly positive real conditions, a technical difficulty arises when the multi-input multi-output (MIMO) system under consideration is non-square, and in particular, has less inputs than outputs. To overcome this, we propose an idea of multirate sampled-data control. That is, a lifted discrete-time(More)
In adaptive output feedback control based on almost strictly positive real (ASPR) conditions, a technical difficulty arises when the controlled multi-input multi-output (MIMO) system is non-square. To overcome this, the idea of multirate sampled-data control has been proposed. That is, through careful choice of faster input sampling rates create a lifted(More)
In this paper, a necessary and sufficient condition for a discrete-time nonlinear system to be strictly passive is derived and OFSP (Output Feedback Strictly Passive) conditions will be established. Based on the obtained OFSP conditions, an adaptive output feedback controller design method which can solve causality problems will be proposed for a(More)
Abstract— This paper deals with the design of an adaptive PID control system for discrete-time SISO non-linear systems. The proposed method is based on the output feedback strictly passive (OFSP) property of the controlled system. A fundamental design scheme of an adaptive PID control system with a parallel feedforward compensator (PFC) introduced in order(More)
This paper deals with a controller design problem for dual-rate sampled systems with a slow output sampling rate and a fast input updating rate. An adaptive output estimator based on a reduced first order model of the controlled system will be proposed in order to design an output feedback controller with a fast-rate input updating period.
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