Event-Triggered Output Feedback Synchronization of Master-Slave Neural Networks Under Deception Attacks.

The problem of event-triggered synchronization of master-slave neural networks is investigated in this article. It is assumed that both communication channels from the sensor to controller and from controller to actuator are subject to stochastic deception attacks modeled by two independent Markov processes. Two discrete event-triggered mechanisms are introduced for both channels to reduce the number of data transmission through the communication channels. To comply with practical point of view, static output feedback is utilized. By employing the Lyapunov-Krasovskii functional method, some sufficient conditions on the synchronization of master-slave neural networks are derived in terms of linear matrix inequalities, which make it easy to design suitable output feedback controllers. Finally, a numerical example is presented to show the effectiveness of the proposed method.

Dynamic output feedback H∞ design in finite-frequency domain for constrained linear systems.

This paper deals with the design problem of H∞ control for linear systems in finite-frequency (FF) domain. Accordingly, the H∞ norm from the exogenous disturbance to the controlled output is reduced in a given frequency range with utilizing the generalized Kalman-Yakubovic-Popov (gKYP) lemma. As some of the states are hard or impossible to measure in many applications, a dynamic output feedback controller is proposed. In order to meet practical requirements that express the limitations of the physical system and the actuator, these time-domain hard constraints are taken into account in the controller design. An algorithm terminating in finitely many steps is given to determine the dynamic output feedback with suboptimal FF H∞ norm bound. The algorithm consists of solving a series of linear matrix inequalities (LMIs). Finally, two case studies are given to demonstrate the effectiveness and advantageous of the proposed method.

Finite-frequency H∞ control for offshore platforms subject to parametric model uncertainty and practical hard constraints.

In this paper, the problem of finite-frequency H∞ controller design for offshore platforms has been addressed. In order to comply with practical requirements, model uncertainties and physical hard constraints such as actuator saturation, maximum allowable displacement of the platform, and maximum deflection of active mass damper (AMD) and the platform deck have been considered and incorporated into the controller design. Then, based on the generalized Kalman-Yakubovic-Popov (KYP) lemma, sufficient conditions have been established in the form of linear matrix inequalities (LMIs) to ensure the existence of the finite-frequency H∞ controller. Finally, a simplified platform model is utilized to illustrate the effectiveness of the proposed method.