Low-Complexity Control With Funnel Performance for Uncertain Nonlinear Multiagent Systems
Xiao Min, Simone Baldi, Wenwu Yu, Jinde Cao
Abstract
A low-complexity funnel controller is presented for high-order nonlinear multiagent systems with unknown dynamics. The term “low-complexity” is used in the literature for controllers based on memoryless nonlinear feedback, with no function approximation to estimate the unknown dynamics. Compared with existing low-complexity controllers, this work reduces the nonlinear terms in the memoryless feedback, which requires a dedicated stability analysis. A comparative numerical study further illustrates the method.
Topics & Concepts
FunnelMulti-agent systemNonlinear systemComputer scienceControl (management)Control theory (sociology)Control systemControl engineeringEngineeringArtificial intelligenceMechanical engineeringPhysicsElectrical engineeringQuantum mechanicsAdaptive Control of Nonlinear SystemsDistributed Control Multi-Agent SystemsAdvanced Control Systems Optimization