Secure state estimation and control for cyber security of the nonlinear power systems

Qie Hu, Dariush Fooladivanda, Young Hwan Chang, Claire J. Tomlin

Research output: Contribution to journalArticlepeer-review

51 Scopus citations


We focus on securely estimating the state of a nonlinear dynamical system from a set of corrupted measurements for two classes of nonlinear systems, and propose a technique that enables us to perform secure state estimation for those systems. We then illustrate how the proposed nonlinear secure state estimation technique can be used to perform estimation in the cyber layer of interconnected power systems under cyber-physical attacks and communication failures. In particular, we focus on an interconnected power system comprised of several synchronous generators, transmission lines, loads, and energy storage units, and propose a secure estimator that allows us to securely estimate the dynamic states of the power network. Finally, we numerically demonstrate the effectiveness of the proposed secure estimation algorithm, and show that the algorithm enables the cyber layer to accurately reconstruct the attack signals.

Original languageEnglish (US)
Article number7929374
Pages (from-to)1310-1321
Number of pages12
JournalIEEE Transactions on Control of Network Systems
Issue number3
StatePublished - Sep 2018


  • Cyber-physical systems (CPS)
  • dynamic state estimation
  • power systems
  • secure state estimation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Control and Optimization


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