This note considers the distributed optimal coordination (DOC) problem for heterogeneous linear multiagent systems. The local gradients are locally Lipschitz and convexity constants unknown. A control law is proposed to drive states of all agents that minimizes a global objective function. By exploring certain features invariant projection Laplacian matrix, asymptotic convergence guaranteed utilizing only interaction. then extended with event-triggered communication schemes, which removes...

This paper considers the formation control problem for general linear networked agents constrained with event-triggered communications. We propose four kinds of edge-based protocols, each which can be used to achieve given structures and eliminate unexpected Zeno behavior. Since whole protocols are designed according sampled information at event instants rather than real-time information, these efficiently avoid continuous communications, reduce bandwidth need communication, decrease energy...

In this article, the distributed finite-time and fixed-time optimization problems are investigated by adopting zero-gradient-sum (ZGS) framework in multiagent systems. Specifically, when local convex functions nonquadratic, a basic protocol is proposed to obtain convergence, such that networked system can cooperatively seek optimal solution of global objective, sum limited time. By utilizing property quadratic functions, reduced algorithm remove dependence initial conditions estimation upper...

This paper investigates the distributed continuous-time optimization problem, which consists of a group agents with variant local cost functions. An adaptive consensus-based algorithm event triggering communications is introduced, can drive participating to minimize global function and exclude Zeno behavior. Compared existing results, proposed event-based independent parameters functions, using only relative information neighboring agents, hence fully distributed. Furthermore, constraints...

This paper investigates the cooperative tracking control problem of multiagent systems where each agent is described as a Lur'e system. We first consider case leader's input zero and design distributed adaptive event-triggered protocol for followers to track leader. then deal with general leader contains bounded by proposing novel event-based protocol, including nonlinear term restrain effect input. Both proposed protocols can guarantee uniform ultimate boundedness error gains without...

This article investigates the robustness issues of a set distributed optimization algorithms, which aim to approach optimal solution sum local cost functions over an uncertain network. The communication network consists transmission channels perturbed by additive deterministic uncertainties, can describe quantization and errors. A new robust initialization-free algorithm is proposed for problem multiple Euler-Lagrange systems, explicit relationship feedback gain algorithm, topology,...

This article considers the distributed finite-time optimization problem of multi-agent systems within Zero-Gradient-Sum (ZGS) framework. We employ a algorithm to drive estimate each agent converge optimal solution global objective function, sum local objectives. In general case with non-quadratic functions, we can obtain convergence. Furthermore, when all cost functions are quadratic, proposed achieve fixed-time result such that upper bound settling time be estimated regardless initial...

This article addresses the cooperative control problem of multi-agent systems with Lipschitz nonlinearities. In order to achieve consensus, we design a distributed adaptive event-triggered protocol for these participators. The proposed mixed mechanism can be implemented by each agent in fully fashion and guarantees that consensus errors gains are uniform ultimate bounded. We also derive explicitly relationship between error bound parameters protocol. Further, avoid Zeno behavior while...

This paper investigates the distributed proportional-integral (PI) control problem for active-passive networked linear multi-agent systems. First, we design a PI controller case where system is subject to multiple constant disturbances and prove that proposed protocol can achieve consensus. Besides, modified assigned each agent track average of applied exogenous inputs when network contains both active passive agents. The effectiveness algorithms illustrated theoretically numerically.