A novel class of fixed-time consensus protocols for multi-agent systems with simple dynamics
Yuquan Chen, Fumian Wang, Bing Wang

TL;DR
This paper introduces a new fixed-time consensus protocol for multi-agent systems with simple dynamics, utilizing periodic functions to ensure convergence within a fixed time independent of initial states.
Contribution
It proposes a novel fixed-time consensus strategy based on periodic functions, extending to weighted average consensus and robust fixed-time consensus under disturbances.
Findings
Achieves fixed-time consensus with bounds independent of initial conditions
Extends fixed-time consensus to weighted average scenarios
Demonstrates robustness under disturbances using sliding mode control
Abstract
This paper investigates the fixed-time consensus problem for a class of multi-agent systems with simple dynamics. Unlike the traditional way to realize fixed-time convergence, a novel strategy using the property of periodic functions is proposed to achieve fixed-time convergence. On this basis, novel protocols for achieving fixed-time consensus and fixed-time average consensus are then given, where the upper bound of the consensus time is independent of initial conditions. Moreover, the result of fixed-time average consensus is extended to a more general case, where the weights of different states can be allocated in advance. Finally, the fixed-time consensus in the presence of disturbances is derived with the help of sliding mode control, where a fixed-time sliding manifold and fixed-time reaching law are designed. All the conclusions are demonstrated by dedicated simulation examples.
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Adaptive Control of Nonlinear Systems
