Titlebook: Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals; Ju H. Park,Hao Shen,Tae H. Lee Book 2019 Springer In

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結(jié)構(gòu)

Network-Based Control with Asynchronous Samplings and Quantizationsn and receiving channels, asynchronous samplings and different logarithmic quantization effects are considered. The quantizer is assumed to be satisfied by the sector bounded condition and it is handled by the convex combination technique. To deal with sampling effect, we categorize three cases: one

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Quantized Static Output Feedback Control for Discrete-Time Systemsuantization in the communication channels from the sensor to the controller and from the controller to the actuator. In the presence of the input and output dynamic quantization effects, the attention of this chapter is focused on the design of both robust static output feedback stabilization and .

integrated

excursion

Reliable Event-Triggered Retarded Dynamic Output Feedback , Control for Networked Systems randomness of actuators failures is modeled by a stochastic variable in a Markov jump model framework. In this paper, a Markov jump event-triggered retarded dynamic output feedback . controller is designed to guarantee the considered closed-loop system is stochastically stable with a prescribed . p

scotoma

中止

Fuzzy Resilient Energy-to-Peak Filter Design for Continuous-Time Nonlinear Systemsnonlinear systems, the Takagi-Sugeno (T-S) fuzzy model with norm-bounded uncertainties is employed. By using a two-step approach, two new sufficient design conditions for the resilient filter are presented in terms of solutions to a set of linear matrix inequalities (LMIs), which guarantee the asymp

言外之意

Microgram

zonules