Formation control for nonlinear multi-agent systems by robust output regulation
نویسندگان
چکیده
In this paper, the formation control problem of multi-agent systems with nonlinear dynamic is considered. Output regulation problem of nonlinear systems is generalized to the formation control problem of nonlinear multi-agent systems. The reference inputs or disturbance signals are generated by an exo-system, which can be considered as an active leader in the considered multi-agent systems. When some agents cannot obtain the information from the exo-system, the distributed nonlinear feedback controller is designed. Based on the internal model principle, the distributed output regulation formation control problem can be solved by solving the regulator equations. The illustrative example demonstrates the effectiveness of the main results. & 2014 Elsevier B.V. All rights reserved.
منابع مشابه
Adaptive Neural Network Method for Consensus Tracking of High-Order Mimo Nonlinear Multi-Agent Systems
This paper is concerned with the consensus tracking problem of high order MIMO nonlinear multi-agent systems. The agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. The communication network topology of agents is assumed to be a fixed undirected graph. A distributed adaptive control method is proposed to solve the consensus problem utilizing re...
متن کاملDistributed Fuzzy Adaptive Sliding Mode Formation for Nonlinear Multi-quadrotor Systems
This paper suggests a decentralized adaptive sliding mode formation procedure for affine nonlinear multi-quadrotor under a fixed directed topology wherever the followers are conquered by dynamical uncertainties. Compared with the previous studies which primarily concentrated on linear single-input single-output (SISO) agents or nonlinear agents with constant control gain, the proposed method is...
متن کاملOutput Consensus Control of Nonlinear Non-minimum Phase Multi-agent Systems Using Output Redefinition Method
This paper concerns the problem of output consensus in nonlinear non-minimum phase systems. The main contribution of the paper is to guarantee achieving consensus in the presence of unstable zero dynamics. To achieve this goal, an output redefinition method is proposed. The new outputs of agents are functions of original outputs and internal states and defined such that the dynamics of agents a...
متن کاملAdaptive neural control of nonlinear fractional order multi- agent systems in the presence of error constraintion
In this paper, the problem of fractional order multi-agent tracking control problem is considered. External disturbances, uncertainties, error constraints, transient response suitability and desirable response tracking problems are the challenges in this study. Because of these problems and challenges, an adaptive control and neural estimator approaches are used in this study. In the first part...
متن کاملAdaptive 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 کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Neurocomputing
دوره 140 شماره
صفحات -
تاریخ انتشار 2014