Arbitrarily Fast Switched Distributed Stabilization of Partially Unknown Interconnected Multiagent Systems: A Proactive Cyber Defense Perspective
2022 AMERICAN CONTROL CONFERENCE (ACC)(2022)
Abstract
A design framework recently has been developed to stabilize interconnected multiagent systems in a distributed manner, and systematically capture the architectural aspect of cyber-physical systems. Such a control theoretic framework, however, results in a stabilization protocol which is passive with respect to the cyber attacks and conservative regarding the guaranteed level of resiliency. We treat the control layer topology and stabilization gains as the degrees of freedom, and develop a mixed control and cybersecurity design framework to address the above concerns. From a control perspective, despite the agent layer modeling uncertainties and perturbations, we propose a new step-by-step procedure to design a set of control sublayers for an arbitrarily fast switching of the control layer topology. From a proactive cyber defense perspective, we propose a satisfiability modulo theory formulation to obtain a set of control sublayer structures with security considerations, and offer a frequent and fast mutation of these sublayers such that the control layer topology will remain unpredictable for the adversaries. We prove the robust input-to-state stability of the two-layer interconnected multiagent system, and validate the proposed ideas in simulation.
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Key words
arbitrarily fast switched distributed stabilization,partially unknown interconnected multiagent systems,proactive cyber defense perspective,cyber-physical systems,control theoretic framework,stabilization protocol,cyber attacks,control layer topology,stabilization gains,mixed control,cybersecurity design framework,control perspective,agent layer,step-by-step procedure,control sublayers,arbitrarily fast switching,control sublayer structures,frequent mutation,fast mutation,input-to-state stability,two-layer interconnected multiagent system,distributed manner,architectural aspect,agent layer modeling uncertainties,agent layer modeling perturbations,satisfiability modulo theory formulation
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