Resilient Control Under Denial-of-Service: Results and Research Directions

Abstract

The question of security is becoming central for the current generation of engineering systems which more and more rely on networks to support monitoring and control tasks. This chapter addresses the question of designing network control systems that are resilient to Denial-of-Service, that is to phenomena which render a communication network unavailable to use. We review recent results in this area and discuss some of the research challenges.

Improved nonlinear model‐free adaptive iterative learning control in DoS attack environment

“…In algorithm (11), an AR model of φ(k, d ) is introduced, and in order to study the effect of the regression terms on the system, the values of j are set to 1, 2, 3, and 4 for simulation. We compare them by the maximum error in Figure 6.…”

“…The other is modelfree. Considering the model-based approach, some control methods such as fault-tolerant control [6][7][8][9], resilient control [10][11][12], observers-based control [13,14], event triggered control [15,16], output-feedback control [15,17], predictive control [18][19][20], mitigation adaptive secondary control [21] etc. are presented to solve the adverse affects of the DoS attacks.…”