Visible to the public Resilient cumulant game control for cyber-physical systems

TitleResilient cumulant game control for cyber-physical systems
Publication TypeConference Paper
Year of Publication2015
AuthorsAduba, C., Won, C. h
Conference Name2015 Resilience Week (RWS)
PublisherIEEE
ISBN Number978-1-4799-8594-4
Keywordscontrol feedback gain variation, Cost function, cumulant game control resiliency, cyber-physical system, Cyber-physical systems, full-state feedback, game theory, Games, Hamilton-Jacobi-Bellman equation, HJB equation, linear hybrid stochastic system, linear Markovian system, Markov processes, Mathematical model, Nash equilibrium, Nash game, optimisation, pubcrawl170107, quadratic cost function optimization, security of data, security vulnerability, Trajectory
Abstract

In this paper, we investigate the resilient cumulant game control problem for a cyber-physical system. The cyberphysical system is modeled as a linear hybrid stochastic system with full-state feedback. We are interested in 2-player cumulant Nash game for a linear Markovian system with quadratic cost function where the players optimize their system performance by shaping the distribution of their cost function through cost cumulants. The controllers are optimally resilient against control feedback gain variations.We formulate and solve the coupled first and second cumulant Hamilton-Jacobi-Bellman (HJB) equations for the dynamic game. In addition, we derive the optimal players strategy for the second cost cumulant function. The efficiency of our proposed method is demonstrated by solving a numerical example.

URLhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7287422&isnumber=7287407
DOI10.1109/RWEEK.2015.7287422
Citation Keyaduba_resilient_2015