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Stabilization of sampled-data Lur'e systems with nonuniform sampling
2015 54th IEEE Conference on Decision and Control (CDC), 2015The paper addresses the problem of Lur’e sampled-data control design with non uniform sampling. It is shown that this problem can be treated using a methodology based on Euler approximate discrete time models associated to a formulation of the problem in the switched systems framework.
Louis, Julien +2 more
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2020
In Chap. 2 we dealt with discrete systems only, covering difference equations and the z transform. Chapter 3 we did examine finding discrete simulations of continuous systems, but we did so from a discrete perspective. In digital control systems where there are both discrete (the control algorithm) and continuous components (the plant), with a loop ...
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In Chap. 2 we dealt with discrete systems only, covering difference equations and the z transform. Chapter 3 we did examine finding discrete simulations of continuous systems, but we did so from a discrete perspective. In digital control systems where there are both discrete (the control algorithm) and continuous components (the plant), with a loop ...
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1997
Having studied the separate components of a data acquisition system, we now consider the errors which are inherent in all sampled data systems. These are sampling and quantization errors. They can be reduced, but not eliminated. Examples of the design of complete systems are considered in which these errors are reduced to a level which is tolerable for
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Having studied the separate components of a data acquisition system, we now consider the errors which are inherent in all sampled data systems. These are sampling and quantization errors. They can be reduced, but not eliminated. Examples of the design of complete systems are considered in which these errors are reduced to a level which is tolerable for
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Nonlinear H∞ filtering of sampled-data systems
Automatica, 1999Abstract This paper considers the problem of H∞ filtering for nonlinear samplcd-data systems. Sufficient conditions are obtained for the existence of filters that guarantee the L2 gain from an exogenous input to an estimation error is less than or equal to a prescribed value.
Sing Kiong Nguang, Peng Shi 0001
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A calculus for hybrid sampled data systems
1994This paper addresses the problem of formally describing hybrid sampled data systems. Using the techniques proposed in Duration Calculus, we first develop a formal calculus, called Accumulation Calculus, for specifying real valued step functions of time. The key idea is that such functions are described using their integrals in bounded closed intervals.
Huiqun Yu +2 more
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QUADRATIC STABILIZATION OF SAMPLED-DATA SYSTEMS WITH QUANTIZATION
IFAC Proceedings Volumes, 2002The influence of sampling and quantization on stability for linear time-invariant systems is investigated. In the first part, a bound for the sampling period for the closed-loop system without quantization is derived. By solving a Riccati equation, an optimal gain is calculated.
Hideaki Ishii, Bruce A. Francis
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Control of asynchronous sampled data systems
IEEE Transactions on Automatic Control, 1994This paper is concerned with the problem of controller design in the case of asynchronous sampled data systems. Optimal LQG controllers are obtained for the class of two-rate systems where all the control inputs are held at a rate which is asynchronously related to the rate with which all of the outputs are sampled.
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Some Remarks on the Controllability of Sampled-Data Systems
SIAM Journal on Control and Optimization, 2012This paper raises the question of controllability (or more precisely, reachability) of sampled-data systems, i.e., systems composed of a continuous-time plant controlled by a digital controller. The question is formulated from the continuous-time perspective, and the study is carried out in a functional analytic framework. The novelty of the study lies
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On Sampled-Data PI Control for Nonlinear Systems
Journal of Systems Science and ComplexityzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shuai Xu, Chanying Li
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Sampled-data control of fuzzy systems
2022 IEEE International Conference on Networking, Sensing and Control (ICNSC), 2022Jinnan Luo, Jianming Xiong
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