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Titlebook: Analysis and Synthesis of Delta Operator Systems with Actuator Saturation; Hongjiu Yang,Yuanqing Xia,Qing Geng Book 2019 Springer Nature S

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Saturation-Dependent Lyapunov Functionaturation have been given in [74]. Output feedback stabilization of linear systems with actuator saturation has been considered in [143]. Stable actuator saturation compensators have been designed in frequency domain [12]. Some methods of estimating the DoA and properties of null controllable region
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Monotonicity and Parametric Riccati Equationused as a shape of the DoA [93, 145]. Researches on the DoA have been given for uncertain polynomial continuous-time systems in [19]. Analytical approximation of a maximal invariant ellipsoid has been discussed for discrete-time systems with bounded controls [199]. The DoA has been given for linear
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Semi-global Stabilization with Regional Performancenique for estimating the DoA has been proposed for discrete-time and continuous-time systems subject to actuator saturation [47]. Semi-global stabilization has been shown to design a feedback law such that the DoA includes a priori given subset on the null controllable region [128]. A stabilizing fe
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Maximizing Convergence Rate in the DoAeds. Although overall convergence rates have been researched for a long time, their exact definition was rarely given. Researches on overall convergence rates have appeared for control systems with actuator saturation; however, it was limited to continuous-time and discrete-time systems [.]. For fas
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Output Regulation via State Feedback Controllation problems for discrete-time and continuous-time systems have been considered in [.] and [.], respectively. In [.], distributed output regulation of switching multi-agent systems subject to actuator saturation has been concerned. Experimental output regulation for a benchmark nonlinear system h
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Low-Gain Feedback via Parametric Riccati Equationsd approach, and a parametric Lyapunov equation-based approach. According to eigenstructure assignment algorithms, exponential feedback gains have been constructed for continuous-time and discrete-time systems in [.] and [.], respectively. An approach to the low-gain feedback law has been developed i
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Stabilization for 2-D Systemsystems are usually modeled as 2-D systems, such as signal and image processing [.], thermal processing [.], and metal rolling processing [.]. Therefore, considerable interests have been attracted in stabilization analysis of the 2-D systems. In recent years, stabilization of 2-D systems are mainly s
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