Observer-Type Consensus Protocol for a Class of Fractional-Order Uncertain Multiagent Systems

نویسنده

  • Hongjie Li
چکیده

and Applied Analysis 3 The rest of this paper is organized as follows. In Section 2, preliminaries and problem statement are given. In Section 3, the consensus conditions are derived by using linear matrix inequality approach and matrix’s singular value decomposition. In Section 4, a simulation example is provided to show the advantages of the obtained results. Conclusions are presented in Section 5. 2. Preliminaries and Problem Statement 2.1. Graph Theory Notions Let g {v, ε,A} be a weighted directed graph of order N, with the set of nodes v {v1, v2, . . . , vN}, an edge set ε ⊆ v × v, and a weighted adjacency matrix A aij N×N with aij > 0 if vj , vi ∈ ε and aij 0, otherwise. The neighbor set of node i is defined by Ni {j ∈ v | vj , vi ∈ ε}, and the in-degree and out-degree of node i are defined as degin i N ∑ j 1,j / i aij , degout i N ∑ j 1,j / i aji. 2.1 A diagraph is called balanced if degin i degout i for all i ∈ v. The Laplacian matrix L lij N×N associated with the adjacency matrix A is defined as lij −aij ( i / j ) , lii − N ∑ j 1,j / i aij , i 1, 2, . . . ,N . 2.2 It is straightforward to verify that L has at least one zero eigenvalue with a corresponding eigenvalue with a corresponding eigenvector 1, where 1 is an all-one column vector with a compatible size. 2.2. Caputo Fractional Operator With the development of fractional calculus, it has been found that many physical systems show fractional dynamical behavior because of special materials and chemical properties, which can be described more accurately using fractional-order calculus than traditional integer-order calculus 27, 28 . Therefore, fractional-order calculus has become a hot research issue in recent years. There are many definitions of fractional derivatives 29–31 , such as the Riemann-Liouville derivative and the Caputo derivative which are used in fractional systems. In physical systems, Caputo fractional derivative is more appropriate for describing the initial value problem of fractional differential equations, the Laplace transform of the Caputo derivative allows utilization of initial values of classical integer-order derivatives 4 Abstract and Applied Analysis with clear physical interpretations 17 . Therefore, the following Caputo fractional operator is adopted in this paper for fractional derivatives of order α: Dx t 1 Γ m − α ∫ t t0 t − τ m−α−1x m τ dτ m − 1 < α < m , 2.3 where m ∈ Z , Γ · is a gamma function given by Γ z ∫∞ 0 t z−1e−tdt. In order to simulate the fractional-order multiagent systems, a predictor corrector algorithm is introduced as follows. The fractional-order differential equation is given by Dx t f t, x t 0 ≤ t ≤ T, 0 < α < 1 , x i 0 x i 0 i 0, 1, 2, . . . , n − 1 2.4 which is equivalent to the following Volterra integral equation: x t a −1 ∑ i 0 t i! x i 0 1 Γ α ∫ t 0 t − τ α−1f τ, x τ dτ. 2.5 Set h T/N N ∈ Z and tn nh n 1, 2, . . . ,N , where h is the step size, T is simulation time, and N is the number of sample points, 2.4 can be discretized as follows:

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Observer Based Fuzzy Terminal Sliding Mode Controller Design for a Class of Fractional Order Chaotic Nonlinear Systems

This paper presents a new observer based fuzzy terminal sliding mode controller design for a class of fractional order nonlinear systems. Robustness against uncertainty and disturbance, the stability of the close loop system and the convergence of both the tracking and observer errors to zero are the merits of the proposed the observer and the controller. The high gain observer is applied to es...

متن کامل

Robust stabilization of a class of three-dimensional uncertain fractional-order non-autonomous systems

  This paper concerns the problem of robust stabilization of uncertain fractional-order non-autonomous systems. In this regard, a single input active control approach is proposed for control and stabilization of three-dimensional uncertain fractional-order systems. The robust controller is designed on the basis of fractional Lyapunov stability theory. Furthermore, the effects of model uncertai...

متن کامل

ADAPTIVE BACKSTEPPING CONTROL OF UNCERTAIN FRACTIONAL ORDER SYSTEMS BY FUZZY APPROXIMATION APPROACH

In this paper, a novel problem of observer-based adaptive fuzzy fractional control for fractional order dynamic systems with commensurate orders is investigated; the control scheme is constructed by using the backstepping and adaptive technique. Dynamic surface control method is used to avoid the problem of “explosion of complexity” which is caused by backstepping design process. Fuzzy logic sy...

متن کامل

Adaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems

This paper has been devoted to the design of a distributed consensus control for a class of uncertain nonlinear multi-agent systems in the strict-feedback form. The communication between the agents has been described by a directed graph. Radial-basis function neural networks have been used for the approximation of the uncertain and heterogeneous dynamics of the followers as well as the effect o...

متن کامل

Adaptive Leader-Following and Leaderless Consensus of a Class of Nonlinear Systems Using Neural Networks

This paper deals with leader-following and leaderless consensus problems of high-order multi-input/multi-output (MIMO) multi-agent systems with unknown nonlinear dynamics in the presence of uncertain external disturbances. The agents may have different dynamics and communicate together under a directed graph. A distributed adaptive method is designed for both cases. The structures of the contro...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014