King Fahd University of Petroleum and Minerals

Mutaz M Hamdan

Uthman Baroudi

Amar Khoukhi

Magdi Sadek Mostafa Mahmoud

Magdi S Mahmoud

A method and system to control a cyber physical system using an observer-based controller including a detector to determine an occurrence of an attack on the cyberphysical system and to inform the observer-based controller via a signal. The observer estimates a system state of the cyberphysical system based on at least partial information about the cyber physical system. The observer-based controller is configured with a predetermined observer gain and controller gain. The observer-based controller is configured to control the cyberphysical system using an estimated error determination that is altered depending on a type of cyber attack. The observer-based controller is configured to control the cyberphysical system subjected to cyber attacks in both a forward channel connecting at least one sensor with the observer and a backward channel connecting the observer-based controller with actuators.

Event-triggering control scheme for discrete time cyberphysical systems in the presence of simultaneous hybrid stochastic attacks

Methods, systems, and computer readable media to control a cyber physical system using an observer-based controller are described.

Control of cyber physical systems subject to cyber and physical attacks

In the control method for mobile parallel manipulators, kinematic singularity and redundancy are solved through joint limits avoidance and manipulability criteria. By taking the MPM self-motion into consideration due to its redundancy, the inverse kinematic is derived using a hybrid neuro-fuzzy system, such as NeFIK. The discrete augmented Lagrangian (AL) technique is used to solve the highly nonlinear constrained multi-objective optimal control problem. An adaptive neuro-fuzzy inference system (ANFIS)-based structure (based on the result of the AL solution) is used to solve the online trajectory planning of the MPM.

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Dhahran, Saudi Arabia

Mutaz M Hamdan