Smooth Output Reconstruction for Linear Systems with Quantized Measurements

DOI10.1002/asjc.950zbMath1332.93143OpenAlexW2128206619MaRDI QIDQ2790019

Hongzhong Zhu, Hiroshi Fujimoto, Toshiharu Sugie

Publication date: 2 March 2016

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2433/203540

zbMATH Keywords

convex optimizationquantizationstate observerpolynomial fitting approach

Mathematics Subject Classification ID

Convex programming (90C25) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)

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Cites Work

• Unnamed Item
• Quantized output feedback control for networked control systems
• Optimally conditioned Vandermonde matrices
• Polynomial filtering approach to reconstruction and noise reduction of nonuniformly sampled signals.
• Optimal dynamic quantizers for discrete-valued input control
• Quantized feedback stabilization of linear systems
• Finite-Level Quantized Feedback Control for Linear Systems
• H_∞filter design for continuous-time systems with quantised signals
• Coding Scheme Based on Boundary Functions for Distributed System with Finite Channel Data Rates and Packet Dropouts
• Bounds on the optimal quantization performance of dynamically quantized linear systems with bounded noise