IEEE Transactions on Automatic Control, Vol.64, No.11, 4512-4524, 2019
Analysis and Synthesis of MIMO Multi-Agent Systems Using Network Optimization
This paper studies analysis and synthesis problems for diffusively coupled multi-agent systems. We focus on networks comprised of multi-input multi-output nonlinear systems that possess a property we term maximal equilibrium-independent cyclically monotone passivity (MEICMP), which is an extension of recent passivity results. We demonstrate that networks comprised of MEICMP systems are related to a pair of dual network optimization problems. In particular, we show that the steady-state behavior of the multi-agent system correspond to the minimizers of appropriately defined network optimization problems. This optimization perspective leads to a synthesis procedure for designing the network controllers to achieve a desired output. We provide detailed examples of networked systems satisfying these properties and demonstrate the results for a network of damped planar oscillators.
Keywords:Steady-state;Optimization;MIMO communication;Multi-agent systems;Couplings;Control systems;Convergence;Multi-agent systems;multidimensional systems;nonlinear control systems;decentralized control;MIMO;control system analysis;control system synthesis;optimization;nonlinear dynamical systems;convex functions;closed loop systems;convergence;feedback;graph theory;automatic control;couplings