In this article, the switching-like adaptive event-triggered dynamic
output feedback H ∞ control for the interval type-2 (IT-2) Takagi-Sugeno
(T-S) fuzzy system over networks with hybrid attacks and Markovian
packet losses is investigated. The switching-like adaptive
event-triggered mechanism (SAETM) is involved with the characteristic of
dynamically adjusting trigger threshold according to the change of the
system states and appropriately selecting the event-triggered scheme in
the light of the packet loss process is creatively proposed. The hybrid
attack which is consisted of deception attack and aperiodic
Denial-of-Service (DoS) attack is considered, and the deception attack
is expressed as the Bernoulli random variable, while the aperiodic DoS
attack is characterized by the frequency and duration in view of the
average dell-time (ADT) technique. By applying the packet loss dependent
multiple Lyapunov function technique and iterative method, the
sufficient condition is derived to address the stability of NCS, and the
existence condition is established to guarantee the prescribed
performance of the H ∞ controller. Finally, two simulation examples are
applied to show the availability of the provided algorithm.
In this article, the observer-based guaranteed cost control method is investigated for the networked control systems (NCSs) with packet dropout and nonlinear disturbance involving event-triggered mechanism (ETM). The packet dropout processes, which appear in both the sensor-to-controller and the controller-to-actuator links, are represented by two mutually independent Bernoulli distributions, and the nonlinear disturbance is supposed to satisfy the Lipschitz condition. Since the systems states are unmeasurable, a state observer is designed to estimate the values of system state. The sufficient condition for the stability of the closed-loop system is addressed by applying the Lyapunov theorem, and a guaranteed cost controller is obtained based on the stability condition with the satisfaction of some given specified value of cost function. Furthermore, the controller design issue can be formulated as a convex optimization problem that is addressed by the linear matrix inequality (LMI) technique using the cone complementarity linearization algorithm. Finally, the availability of above method is proved by a simulation example.
In this article, the switching-like adaptive event-triggered dynamic output feedback H ∞ control for the interval type-2 (IT-2) Takagi-Sugeno (T-S) fuzzy system over networks with hybrid attacks is investigated. The switching-like adaptive event-triggered mechanism (SAETM) is involved with the characteristic of dynamically adjusting trigger threshold according to the change of the system states and appropriately selecting the event-triggered scheme in the light of the packet loss process is creatively proposed. The hybrid attack consisting of deception attack and aperiodic Denial-of-Service (DoS) attack is considered, and the deception attack is expressed as the Bernoulli random variable, while the aperiodic DoS attack is characterized by the frequency and duration in view of the average dell-time (ADT) technique. By applying the packet loss dependency multiple Lyapunov function technique and iterative method, the sufficient condition is derived to address the stability of NCS, and the existence condition is established to guarantee the prescribed performance of the H ∞ controller. Finally, two simulation examples are applied to show the availability of the provided algorithm.
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