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This paper investigates the problem to design the adaptive model-based event-triggered control for linear systems. To deal with the parameter differences between the plant and the model, an adaptation mechanism is introduced to the model-based event-triggered control systems. Based on the separation property of model-based event-triggered control, the problem is divided into two independent parts,...
In this paper, the state-feedback control problem is considered for a class of nonlinear singular systems involving in signal quantization, data packet dropout and state delays. The nonlinear singular system is described by a T-S fuzzy model. The random packet loss is modeled as a Bernoulli process and the quantized measurement signals are dealt with by utilizing the sector bound method. By using...
This paper is firstly concerned with reliable H∞ filter design for a class of T-S fuzzy systems with stochastic sensor faults under a event triggered scheme. Under the event-triggered scheme, the sensor data is transmitted only when the sampled measurements of the plant violate the specified event condition. Then, an event-based filter design model for T-S fuzzy systems is constructed by taking the...
In this paper, we mainly focus on the problem of quantized feedback stabilization for a discrete-time linear system with faults. The dynamic uniform quantizer is used here, and quantized measurements of the state are available. The research contents are divided into two parts. And the feedback stabilization of the system with sensor or actuator faults is studied respectively. The sufficient conditions...
In this paper, for the networked control systems with time-varying bounded sampling periods and time-delay, they are modeled as a class of discrete systems. The closed-loop NCS is transformed into a time-varying dynamic interval system with Taylor formula, where the time-varying sampling periods and time delay parts are treated as norm bounded uncertainties of the structure parameter. Based on the...
In this paper, the finite-time control problem of a class of networked control systems (NCSs) with time-varying delay is investigated. The main results provided in the paper are sufficient conditions for finite-time stability via state feedback. By viewing the time-varying delay as time-varying parameter uncertainties, NCSs with time-varying delay is modeled as linear systems with parameter uncertainties...
In this paper, the quantized feedback control problem is investigated for a class of network-based 2-D systems described by Roesser model with data missing. It is assume that the states of the controlled system are available and there are quantized by logarithmic quantizer before being communicated. Moreover, the data missing phenomena is modeled by a Bernoulli distributed stochastic variable taking...
To understand the behavior of potential network invaders, this paper considers a system attack problem from the perspective of an invader. The invader intends to attack a system, where a group of sensors measure a process state and send the measurements to a remote estimator for state estimation, by launching Denial-of-Service (DoS) attacks to block the communication channels. As the invader has a...
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