4,695 research outputs found
Bipartite Consensus for a Class of Nonlinear Multi-agent Systems Under Switching Topologies:A Disturbance Observer-Based Approach
This paper considers the leader-following bipartite consensus for a class of nonlinear multi-agent systems (MASs) subject to exogenous disturbances under directed fixed and switching topologies, respectively. Firstly, two new output feedback control protocols involving signs of link weights are introduced based on relative output measurements of neighboring agents. In order to estimate the disturbances produced by an exogenous system, a disturbance observer-based approach is developed. Then, sufficient conditions for leader-following bipartite consensus with directed fixed topologies are derived. Furthermore, by assuming that each switching topology contains a directed spanning tree, it is proved that the leader-following bipartite consensus can be realized with the designed output feedback control protocol if the dwell time is larger than a non-negative threshold. Finally, numerical simulations inspired by a real-world DC motors are provided to illustrate the effectiveness of the proposed controllers
Network Identification for Diffusively-Coupled Systems with Minimal Time Complexity
The theory of network identification, namely identifying the (weighted)
interaction topology among a known number of agents, has been widely developed
for linear agents. However, the theory for nonlinear agents using probing
inputs is less developed and relies on dynamics linearization. We use global
convergence properties of the network, which can be assured using passivity
theory, to present a network identification method for nonlinear agents. We do
so by linearizing the steady-state equations rather than the dynamics,
achieving a sub-cubic time algorithm for network identification. We also study
the problem of network identification from a complexity theory standpoint,
showing that the presented algorithms are optimal in terms of time complexity.
We also demonstrate the presented algorithm in two case studies.Comment: 12 pages, 3 figure
Robust Distance-Based Formation Control of Multiple Rigid Bodies with Orientation Alignment
This paper addresses the problem of distance- and orientation-based formation
control of a class of second-order nonlinear multi-agent systems in 3D space,
under static and undirected communication topologies. More specifically, we
design a decentralized model-free control protocol in the sense that each agent
uses only local information from its neighbors to calculate its own control
signal, without incorporating any knowledge of the model nonlinearities and
exogenous disturbances. Moreover, the transient and steady state response is
solely determined by certain designer-specified performance functions and is
fully decoupled by the agents' dynamic model, the control gain selection, the
underlying graph topology as well as the initial conditions. Additionally, by
introducing certain inter-agent distance constraints, we guarantee collision
avoidance and connectivity maintenance between neighboring agents. Finally,
simulation results verify the performance of the proposed controllers.Comment: IFAC Word Congress 201
Distributed Coordination of Fractional Dynamical Systems with Exogenous Disturbances
Distributed coordination of fractional multiagent systems with external disturbances is studied. The state observer of fractional dynamical system is presented, and an adaptive pinning controller is designed for a little part of agents in multiagent systems without disturbances. This adaptive pinning controller with the state observer can ensure multiple agents' states reaching an expected reference tracking. Based on disturbance observers, the controllers are composited with the pinning controller and the state observer. By applying the stability theory of fractional order dynamical systems, the distributed coordination of fractional multiagent systems with external disturbances can be reached asymptotically
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