2016
DOI: 10.1002/rnc.3725
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Robust cooperative output regulation of heterogeneous Lur'e networks

Abstract: Summary In this paper, we study robust cooperative output regulation problems for a directed network of Lur'e systems that consist of a nominal linear dynamics with an unknown static nonlinearity around it through negative feedback. We assume that the linear part of each agent is identical, but the nonlinearities are allowed to be different for distinct agents. In this sense, the network is heterogeneous. As is common in the context of Lur'e systems, the unknown nonlinearities are assumed to be sector bounded … Show more

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Cited by 11 publications
(4 citation statements)
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“…where g ⊥ : R n → R (n −m )×n is a full rank, left annihilator of g(x), that is, g ⊥ (x)g(x) = 0 and rank{g ⊥ (x)} = n − m. See [35] for a parameterization of all full rank left annihilators of a matrix. We restrict our attention to PID controllers of the form…”
Section: Formulation Of the Pid-pbc Problemmentioning
confidence: 99%
“…where g ⊥ : R n → R (n −m )×n is a full rank, left annihilator of g(x), that is, g ⊥ (x)g(x) = 0 and rank{g ⊥ (x)} = n − m. See [35] for a parameterization of all full rank left annihilators of a matrix. We restrict our attention to PID controllers of the form…”
Section: Formulation Of the Pid-pbc Problemmentioning
confidence: 99%
“…where w and v are normalized left and right eigenvectors of the unperturbed matrix A 0 associated to λ 1 hence, |w| = |v| = 1. The statement also applies if the multiplicity of λ 1 is larger than one, provided that there exists a complete set of eigenvectors for the associated eigenspace Moro et al (1997), Wilkinson (1965). Now, for the system (17a) the Laplacian matrix L is symmetric and corresponds to a connected graph hence, it is diagonalizable and there exists a real orthogonal matrix U such that…”
Section: Network Model Transformationmentioning
confidence: 99%
“…in which the parameter ε = 1/γ may be rendered arbitrarily small by design. That is, for sufficiently large values of γ, we may use results on perturbation theory for matrices (see, e.g., Horn and Johnson (1985); Moro et al (1997)) to characterize the eigenvalues and eigenvectors of A γ in terms of ε and the eigenvalues and eigenvectors of the Laplacian L. In particular, (Moro et al, 1997, Theorem 2.1) as well as Horn and Johnson (1985), Wilkinson (1965) allow to estimate the eigenvalues of A γ in terms of those of L, M and ε. In general, a small perturbation of a generic matrix A is denoted by…”
Section: Network Model Transformationmentioning
confidence: 99%
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