Journal ArticleDOI
Decentralized nonlinear output-feedback stabilization with disturbance attenuation
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TLDR
The decentralized output-feedback laws proposed achieve internal global asymptotic stability in the sense of Lyapunov and external stability inthe sense of Sontag (1995, 1998).Abstract:
As a continuation of our recent work (1999), this paper addresses the problem of decentralized robust output-feedback stabilization with disturbance attenuation for large-scale systems with strong nonlinear interconnections. We focuses on a constructive solution to this decentralized control problem without requiring common matching and growth conditions appearing in the past literature. The decentralized output-feedback laws proposed achieve internal global asymptotic stability in the sense of Lyapunov and external stability in the sense of Sontag (1995, 1998).read more
Citations
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Book ChapterDOI
Input to State Stability: Basic Concepts and Results
TL;DR: This expository presentation addresses the precise formulation of questions of robustness with respect to disturbances, formulated in the paradigm of input to state stability, with an intuitive and informal presentation of the main concepts.
Journal ArticleDOI
Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems
TL;DR: This paper presents a first result in stochastic, nonlinear, adaptive, output-feedback asymptotic stabilization, and the method of changing supply functions are adapted, for the first time, to deal with Stochastic and nonlinear inverse dynamics in the context of decentralized control.
Journal ArticleDOI
Neural-Network-Based Decentralized Adaptive Output-Feedback Control for Large-Scale Stochastic Nonlinear Systems
TL;DR: It is shown that the designed controller can guarantee all the signals in the closed-loop system to be semiglobally uniformly ultimately bounded in a mean square.
Journal ArticleDOI
Decentralized Output-Feedback Neural Control for Systems With Unknown Interconnections
Weisheng Chen,Junmin Li +1 more
TL;DR: An adaptive backstepping neural-network control approach is extended to a class of large-scale nonlinear output-feedback systems with completely unknown and mismatched interconnections to remove the common assumptions on interconnection such as matching condition, bounded by upper bounding functions.
Journal ArticleDOI
Robust backstepping control for a class of time delayed systems
TL;DR: It is proved that the constructed controller can render the closed-loop system asymptotically stable and based on Lyapunov stability theory, it is shown that the designed observer and controller are independent of the time delays.
References
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Book
Nonlinear Control Systems
Alberto Isidori,M. Thoma,Eduardo D. Sontag,B. W. Dickinson,A. Fettweis,J. L. Massey,J. W. Modestino +6 more
TL;DR: In this paper, a systematic feedback design theory for solving the problems of asymptotic tracking and disturbance rejection for linear distributed parameter systems is presented, which is intended to support the development of flight controllers for increasing the high angle of attack or high agility capabilities of existing and future generations of aircraft.
Book
Nonlinear and adaptive control design
TL;DR: In this paper, the focus is on adaptive nonlinear control results introduced with the new recursive design methodology -adaptive backstepping, and basic tools for nonadaptive BackStepping design with state and output feedbacks.
Journal ArticleDOI
On characterizations of the input-to-state stability property
Eduardo D. Sontag,Yuan Wang +1 more
TL;DR: In this paper, the Lyapunov sufficient condition for "input-to-state stability" (ISS) is also shown to be necessary and sufficient, which is an open question raised by several authors.
Journal ArticleDOI
L/sub 2/-gain analysis of nonlinear systems and nonlinear state-feedback H/sub infinity / control
TL;DR: In this article, the results on L2-gain analysis of smooth nonlinear systems are unified and extended using an approach based on Hamilton-Jacobi equations and inequalities, and their relation to invariant manifolds of an associated Hamiltonian vector field.
Journal ArticleDOI
Small-gain theorem for ISS systems and applications
TL;DR: This work addresses the problem of global asymptotic stabilization via partial-state feedback for linear systems with nonlinear, stable dynamic perturbations and for systems which have a particular disturbed recurrent structure.
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