Summary For the adversarial attacks on communication links from controller to actuators, most of existing attack‐resilient control results focus denial‐of‐service attacks. Unlike results, this paper studies observer‐based problem for linear systems with false data injection and process disturbances. Due limited resources, malicious attacker is assumed only manipulate a certain number actuators. A novel architecture proposed, which consists an state observer, gain scheme, supervisory...

Summary This paper investigates the attack‐resilient state estimation problem for linear systems with adversarial attacks and unknown inputs, where upper bound of inputs is unknown. It assumed that attacker has limited resources can only manipulate a certain number sensors. In most existing observer design approaches even in absence attacks, matching condition should be satisfied. To overcome this restriction, novel switched proposed, matched will completely compensated by means outputs...

This study investigates the robust adaptive fault-tolerant control (FTC) problem for unknown continuous-time linear systems with parameter uncertainties, external disturbances and actuator faults such as stuck, outage loss of effectiveness. It is assumed that upper bounds stuck are unknown. A new data-based FTC scheme proposed in a parameter-dependent form. The time-varying parameters adjusted online based on an method to compensate automatically faults. time-invariant solved by using real...

Almost all of the available literature on secure state estimation focus sensor attacks. Unlike existing results, this study investigates attack‐resilient problem for continuous‐time linear systems with sparse actuator attacks and process noises. It is assumed that, attacker has limited resources can only manipulate a certain number actuators. Specifically, novel switched observer proposed milder design conditions which are derived in terms matrix (in)equalities. shown not provides an...

Summary This paper investigates the robust adaptive fault‐tolerant control problem for state‐constrained continuous‐time linear systems with parameter uncertainties, external disturbances, and actuator faults including stuck, outage, loss of effectiveness. It is assumed that knowledge system matrices, as well upper bounds disturbances faults, unknown. By incorporating a barrier‐function like term into Lyapunov function design, novel model‐free scheme proposed in parameter‐dependent form,...

Coupler systems are critical to the secure operation of high-speed train. For this reason, paper investigates tracking control problem for train under coupler displacement constraints. Firstly, by considering security constraints and multiple disturbances, a point-mass model containing displacements is established. Then, disturbance observer introduced eliminate adverse effects complex disturbances on operation, thereby improving train's anti-disturbance capability. With help Lyapunov...

Accurate tracking of position and velocity is a critical problem to be solved for the automatic train operation (ATO) system. However, achieving high-speed trains (HSTs) difficult due unknown disturbances actuator faults. This paper uses an improved disturbance observer-based control (IDOBC) strategy solve this issue. Each carriage considered particle connected by flexible coupler establish multiple point-mass model HSTs considering lumped For caused external environment, observer designed...

This paper investigates the static-feedback guaranteed cost control problem for linear systems with actuator faults including outage and loss of effectiveness. Under redundancy condition, theoretical analysis shows that a controller can always be well designed to ensure resulting closed-loop system is stable desirable quadratic performance. In particular, feedback gain determined through solution modified algebraic Riccati equation. Furthermore, extension uncertainties further studied....

This paper investigates the problem of simultaneous estimation states and unknown parameters for multiple-input multiple-output (MIMO) output-injection nonlinear systems with sampled measurements, where output equation involves linear parametrization. A continuous-discrete adaptive observer is proposed shown to be exponentially convergent, provided that: 1) sampling period small; 2) a well-defined persistent excitation condition holds. In particular, existing results are focused on systems,...