Distributed L2-Gain Output-Feedback Control of Homogeneous and Heterogeneous Systems
The importance of static output feedback (OPFB) design for aircraft control, process control, and elsewhere has been well documented since the 1960s, since full state measurements are not usually available in practical systems. This problem is compounded in the case of multi-agent systems (MAS) where each agent has its own state variable and measured outputs. Therefore, this paper addresses the L2-gain OPFB synchronization of linear MAS subject to external disturbances. Both homogeneous and heterogeneous MAS are considered. For homogeneous MAS, it is shown that the L2-gain static OPFB synchronization problem of MAS can be cast into the L2-gain static OPFB problem for a set of decoupled systems that depend on the graph topology. A modified Riccati equation is introduced which gives the OPFB gain and the coupling gain of the proposed static OPFB control protocol. For heterogeneous MAS, it is shown that the L2-gain synchronization problem can be cast into the L2-gain static OPFB problem of a set of decoupled systems plus a coupling condition on their dynamic compensators that depends on the graph topology. A certain novel gain matrix is introduced in the dynamics of the control protocol to improve the performance.
Q. Jiao et al., "Distributed L2-Gain Output-Feedback Control of Homogeneous and Heterogeneous Systems," Automatica, vol. 71, pp. 361-368, Elsevier, Sep 2016.
The definitive version is available at https://doi.org/10.1016/j.automatica.2016.04.025
Electrical and Computer Engineering
Keywords and Phrases
Aircraft Control; Feedback; Feedback Control; Riccati Equations; Synchronization; Topology; Dynamic Compensator; External Disturbances; Heterogeneous Systems; Modified Riccati Equation; Optimal Design; Output Feedback Controls; Static Output Feedback; Synchronization Problem; Multi Agent Systems; LQR Based Optimal Design; Multi-Agent Systems; Output-Feedback Control; 2-Gain Synchronization
International Standard Serial Number (ISSN)
Article - Journal
© 2016 Elsevier, All rights reserved.