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Pseudo innerizing control by state feedback
IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016In this paper, we will propose the method of pseudo innerizing by state feedback for a given strictly proper transfer function matrix. The method is an extended result for transfer function matrices which have proper left-inverse, and a generalization of inverted interactorizing for minimum phase transfer function matrices.
Wataru Kase, Yuji Shigehiro
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Adaptive State-Feedback Controller
2019In this chapter, we present the book’s first adaptive stabilizing controllers for \( 2 \times 2 \) systems. These are state-feedback solutions requiring full state measurements. The first result on adaptive control of \( 2 \times 2 \) systems is given in the back-to-back papers Anfinsen and Aamo (2016a, b), for a system in the form ( 7.1), but with ...
Henrik Anfinsen, Ole Morten Aamo
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Robustness of nonlinear state feedback—A survey
Automatica, 1987A survey of robustness of nonlinear state feedback is given. For series perturbations there are fairly complete results, showing that under mild restrictions an optimal controller can tolerate an infinite increase in gain. For gain reductions there are some results for systems linear in the control.
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2018
State space representation of continuous systems provides the possibility to realize control algorithms based on this model. The control system applies state feedback. If the state variables are not measurable, they have to be estimated. Then the control is performed by feeding back the estimated state variables.
László Keviczky +3 more
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State space representation of continuous systems provides the possibility to realize control algorithms based on this model. The control system applies state feedback. If the state variables are not measurable, they have to be estimated. Then the control is performed by feeding back the estimated state variables.
László Keviczky +3 more
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State-multiplicative Retarded Systems - Predictor-based State-feedback and Output-feedback control
2019 18th European Control Conference (ECC), 2019Linear, continuous-time systems with state-multiplicative noise and delayed input are considered. The problems of $H_{\infty}$ state-feedback and output-feedback control are solved for these systems when uncertainty in their deterministic parameters is encountered.
Eli Gershon, Uri Shaked
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LPV control with observed state feedback and dynamic output feedback
Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001We recall some results concerning H/sub 2/ state feedback, pole placement in LMI regions and estimation of state by a full-order Lunberger observer. After this review, we search an LPV control for an uncertain system. Two methods are presented: the first is state feedback control with an observer and the second is control by dynamic output feedback ...
Mohamed Hechmi Bouazizi +2 more
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2014
Feedback is a fundamental mechanism in nature and central in the control of systems. The state of a system contains important information about the system; hence feeding back the state is a powerful control policy. To illustrate the effect of feedback in linear systems, continuous- and discrete-time state-variable descriptions are used: these allow the
Antsaklis, Panos J., Astolfi, Alessandro
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Feedback is a fundamental mechanism in nature and central in the control of systems. The state of a system contains important information about the system; hence feeding back the state is a powerful control policy. To illustrate the effect of feedback in linear systems, continuous- and discrete-time state-variable descriptions are used: these allow the
Antsaklis, Panos J., Astolfi, Alessandro
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State Feedback Designs for State Tracking
2004In this chapter, we solve the adaptive actuator failure compensation problems for linear time-invariant systems with unknown actuator failures and unknown dynamics, using state feedback for state tracking. In Section 2.1, the plant-model state matching conditions, controller structure, and adaptive designs are presented for a linear time-invariant ...
Gang Tao +3 more
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Linearization by State Feedback
1999In this chapter we begin with a study of the modern geometric theory of nonlinear control. The theory began with early attempts to extend results from linear control theory to the nonlinear case, such as results on controllability and observability. This work was pioneered by Brockett, Hermann, Krener, Fliess, Sussmann and others in the 1970s.
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