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This paper presents a software tool, entitled ODQLab, to design dynamic quantizers for discrete-valued input control. ODQLab is a Matlab-based graphical tool, which enables us to obtain and verify dynamic quantizers without the knowledge of any sophisticated design theory. In this paper, we introduce the software tool with the underlying theory. The effectiveness is demonstrated by a design example...
In this paper, we present multirate sampling type dynamic quantizers for linear control systems with discrete-valued signal constraints. Although our previous works have derived an optimal dynamic quantizer and verified its effectiveness by simulations and experiments, the result can not be applied to SIMO plants with unstable zeros. This paper overcomes the drawback by using a multirate sampling...
In this paper, we consider to optimize decentralized dynamic quantizers for the feedback control with discrete- valued signal constraints. We first formulate an optimization problem of decentralized dynamic quantizers in a given feedback system. Then, we derive a solution to the problem in an analytical way.
This paper is concerned with control of systems with discrete-valued control input, and addresses an optimal design problem of dynamic quantizers in a feedback loop. We first derive a closed form upper bound of the performance of a class of dynamic quantizers. Next, based on this, we propose an optimal dynamic quantizer, which allows us to easily design a controller by linear control theory for plants...
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