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This paper discusses how to design decentralized dynamic quantizers for feedback control systems with discrete-valued input constraints. First, we analytically derive an optimal decentralized dynamic quantizer such that the systems subject to discrete-valued input constraints optimally approximate the behavior of those without such constraints. Next, the effectiveness of such decentralized dynamic...
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 addresses a problem of finding an optimal dynamic quantizer in a given feedback control loop with discrete-valued signal constraints. First, an upper bound of the performance of dynamic quantizers is derived as a closed form. Based on this, we next provide an optimal dynamic quantizer, which is a solution to the problem, in an analytical way. Finally, the validity of the optimal dynamic...
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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