“…. , m are assumed to satisfy [20][21][22][23] γ j ≤ḟ j (c j x i (t)) ≤ δ j (2) for all c j x i (t) ∈ R, i = 1, 2, . .…”
Section: Model Description and Preliminariesmentioning
confidence: 99%
“…Common examples of Lur'e systems include the Goodwin model [15], the repressilator [16], the toggle switch [17], the swarm model [18] and Chua¡¯s circuit [19]. Many literatures have focused on the synchronisation of Lur'e systems; see [20][21][22][23]. For example, in [21], Liu et al, were able to globally synchronise a general Lur'e system with complex topology as well as directed and weighted couplings by using a strategy that is based on the absolute stability theory and the Kalman-Yakubovich-Popov (KYP) lemma.…”
Section: Introductionmentioning
confidence: 99%
“…Guo et al in [22] presented the cluster synchronisation problem of Lur'e dynamical networks, based on the community structure of the networks, they gained sufficient conditions for achieving cluster synchronisation. In [23], Huang et al considered the reduced-order observer of Lur'e differential inclusion systems, and they obtained that if there exists a full-order observer, then there is also a reduced-order observer.…”
In this study, the cluster synchronisation problem of Lur'e networks is focused with non-linear coupling. There are both identical and non-identical nodes in the dynamical system and the coupling matrix is asymmetrical. By using the linear and non-linear negative feedback control schemes, the Lyapunov stability theorem and linear matrix inequality, sufficient conditions are obtained that guarantee the realisation of the cluster synchronisation pattern for all initial values. Numerical simulation results are also given to support the validity of the main results.
“…. , m are assumed to satisfy [20][21][22][23] γ j ≤ḟ j (c j x i (t)) ≤ δ j (2) for all c j x i (t) ∈ R, i = 1, 2, . .…”
Section: Model Description and Preliminariesmentioning
confidence: 99%
“…Common examples of Lur'e systems include the Goodwin model [15], the repressilator [16], the toggle switch [17], the swarm model [18] and Chua¡¯s circuit [19]. Many literatures have focused on the synchronisation of Lur'e systems; see [20][21][22][23]. For example, in [21], Liu et al, were able to globally synchronise a general Lur'e system with complex topology as well as directed and weighted couplings by using a strategy that is based on the absolute stability theory and the Kalman-Yakubovich-Popov (KYP) lemma.…”
Section: Introductionmentioning
confidence: 99%
“…Guo et al in [22] presented the cluster synchronisation problem of Lur'e dynamical networks, based on the community structure of the networks, they gained sufficient conditions for achieving cluster synchronisation. In [23], Huang et al considered the reduced-order observer of Lur'e differential inclusion systems, and they obtained that if there exists a full-order observer, then there is also a reduced-order observer.…”
In this study, the cluster synchronisation problem of Lur'e networks is focused with non-linear coupling. There are both identical and non-identical nodes in the dynamical system and the coupling matrix is asymmetrical. By using the linear and non-linear negative feedback control schemes, the Lyapunov stability theorem and linear matrix inequality, sufficient conditions are obtained that guarantee the realisation of the cluster synchronisation pattern for all initial values. Numerical simulation results are also given to support the validity of the main results.
“…More recently, the observer design problem for the Lur'e DI system has become a hot topic [3,4,5,6,7,8,9,10]. Due to different conditions on the set-valued function, the approaches used are also different.…”
Section: Introductionmentioning
confidence: 99%
“…[4] and [5] designed the observer for the Lur'e DI system via passive approach, i.e., the system matrix confirms to be positive real. Under the same condition as in [5], [6] presented a systematic approach to construct the reducedorder observer for the Lur'e DI system since the reducedorder observer can save more cost than the full-order one. In the sequel works, [7] and [8] discussed adaptive observer and non-fragile observer design problem for the Lur'e DI system, and [10] gave further results on adaptive observer by relaxing sufficient condition.…”
This paper deals with the observer design for the Lur'e differential inclusion system with Markovian jump parameters. The information of transition probabilities is partially unknown. The stochastic observer is designed to make the error system exponentially stable in mean square. The condition for the existence of the stochastic observer is given by a set of linear matrix inequalities and linear matrix equalities. Finally, the rotor system is simulated to show the effectiveness of the proposed observer.
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