Results 221 to 230 of about 12,316 (267)
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Control of a planar system with quantized input/output
Proceedings of the 2004 American Control Conference, 2004In this paper, the stabilization problem for a simple (unstable) planar system in the presence of input and output quantization is addressed. It is shown that global stability to a terminal set is achieved by means of a hybrid output feedback control law, which reads out the plant only three values and yields a control action composed of three values ...
Alfonso Cepeda, Alessandro Astolfi
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Anti-windup design for systems with input quantization
2015 54th IEEE Conference on Decision and Control (CDC), 2015This paper presents a full-order anti-windup compensation strategy for LTI systems with input quantization. The anti-windup compensator functions by comparing the quantized and un-quantized control signal and attempting to ensure that the system's behavior with quantization is close as possible to the ideal system behavior without quantization.
Jorge I. Sofrony, Matthew C. Turner
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Automatica, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jin Guo 0003 +4 more
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Jin Guo 0003 +4 more
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Adaptive synchronization of chaotic systems with hysteresis quantizer input
ISA Transactions, 2020This paper proposes two new designing methods of adaptive controllers in order to synchronize uncertain nonlinear chaotic systems with input quantization. The hysteresis quantizer, which is a class of sector-bounded quantizers, has been used to quantize the control signal.
Mostafa, Asadollahi +2 more
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Input-to-State Stabilization with Quantized Output Feedback
2008We study control systems where the output subspace is covered by a finite set of quantization regions, and the only information available to a controller is which of the quantization regions currently contains the system's output. We assume the dimension of the output subspace is strictly less than the dimension of the state space.
Yoav Sharon, Daniel Liberzon
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Asian Journal of Control, 2019
AbstractThis paper investigates the Wiener‐Hammerstein system identification with quantized inputs and quantized output observations. By parameterizing the static nonlinear function, system identifiability is discussed first. Then, for the identifiable system a three‐step algorithm is proposed to estimate the unknown parameters by employing the ...
Jin Guo, Yanlong Zhao
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AbstractThis paper investigates the Wiener‐Hammerstein system identification with quantized inputs and quantized output observations. By parameterizing the static nonlinear function, system identifiability is discussed first. Then, for the identifiable system a three‐step algorithm is proposed to estimate the unknown parameters by employing the ...
Jin Guo, Yanlong Zhao
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Optimal input sets for steering quantized systems
Mathematics of Control, Signals, and Systems, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Nonparametric estimation algorithms based on input quantization
IEEE Trans. Inf. Theory, 1985The estimation of a parameter of a white discrete-time process with arbitrary statistical distribution is considered, using quantized samples. Because of the quantization the necessary statistical modeling is simplified to the measurement of a few parameters. Under the assumption that the parameter space is a small interval, a locally optimum estimator
C. C. Lee 0001, L. A. Longley
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Stabilization of Markov Jump Linear Systems with Input Quantization
Circuits, Systems, and Signal Processing, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mingming Ji +3 more
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2015 34th Chinese Control Conference (CCC), 2015
This paper extends the quantized input condition in the identification for finite impulse response systems under quantized output observations, and investigates the convergence performance of the two-step estimation algorithm formed by combining the quasi-convex combination estimator and weighted least-squares optimization. We employ the limit inferior
Yanyu He, Jin Guo, Yanlong Zhao
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This paper extends the quantized input condition in the identification for finite impulse response systems under quantized output observations, and investigates the convergence performance of the two-step estimation algorithm formed by combining the quasi-convex combination estimator and weighted least-squares optimization. We employ the limit inferior
Yanyu He, Jin Guo, Yanlong Zhao
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