We address the problem of robust input-to-state stabilization parameter-varying discrete-time systems with time-varying state delay, saturating actuators, and subject to ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -limited disturbance. It is assumed that delay belongs a known interval its maximum variation between two consecutive instants taken into account. The proposed convex delay-dependent conditions for synthesis feedback...

This letter addresses the problem of event-triggered control (ETC) discrete-time linear time-invariant (LTI) systems stabilized by neural network controllers. The event-triggering mechanism (ETM) is proposed to update only a portion layers required maintain stability and satisfactory performance feedback system, thus reducing computational cost associated with evaluation network. Sufficient convex conditions in form matrix inequalities (LMIs) are provided compute triggering parameters...

We address the problem of input-to-state stabilization linear parameter-varying (LPV) discrete-time systems with delayed state and subject to saturated actuators ℓ2-limited disturbance. It is assumed that time-varying delay belongs a known interval its maximum variation between two consecutive instants has limited rate. propose convex delay-dependent conditions for synthesis LPV feedback controllers do not require real-time knowledge ensure local stability closed-loop system set initial...

This paper examines an event-triggered control design approach for discrete-time linear parameter-varying (LPV) systems under constraints. A parameter-dependent dynamic output-feedback controller with event-triggering condition is designed to ensure the regional asymptotic stability of closed-loop system while minimizing a quadratic cost function. Sufficient conditions are derived in terms matrix inequalities (LMIs) thanks use Lyapunov Also, convex optimization schemes proposed using these...

We address the synthesis of a dynamic output-feedback controller with anti-windup action for input-to-state stabilization class linear parameter varying (LPV) discrete-time systems. This is composed systems interval time-varying delayed states, saturating actuators, and energy bounded disturbances. Besides, it assumed that maximum rate delay variation between two consecutive instants limited. A highlight proposed can feedback not only current system output but also ones, which allows more...

Considering a discrete-time linear parameter-varying systems with input constraints, this article deals the codesign of parameter-dependent state-feedback controller and new event-triggering mechanism. Two independent policies are introduced at sensor node to economize limited network resources. They indicate whether current state or scheduling parameters should be transmitted not. In sense, can differ from those system, yielding certain degree robustness concerning parameter deviations....

This letter addresses the problem of emulation-based dynamic output-feedback control for discrete-time linear parameter varying systems under actuator saturation. Sufficient conditions based on matrix inequalities (LMI) are derived to design parameters two dependent event-triggering rules handling sensor-to-controller and controller-to-actuator communication guarantee regional asymptotic stability closed-loop system. A convex optimization scheme incorporating these is also formulated reduce...

Summary We address the design of dynamic parameter‐dependent controllers with antiwindup action to locally stabilize in input‐to‐state sense a class discrete‐time linear parameter‐varying (LPV) systems. Such consists systems delayed state, saturating actuators, and subject energy bounded disturbances. Moreover, interval time‐varying delay can have limited variation rate between two consecutive instants allowing achieve less conservative conditions. Differently from other conditions...

This paper addresses the problem of emulation-based dynamic output-feedback control for discrete-time linear parameter varying systems under actuator saturation. Sufficient conditions based on matrix inequalities (LMI) are derived to design parameters two dependent event-triggering rules handling sensor-to-controller and controller-to-actuator communication guarantee regional asymptotic stability closed-loop system. A convex optimization scheme incorporating these is also formulated reduce...

This paper addresses the input-to-state stabilization problem of discrete-time LPV systems with delayed states, saturating actuators, and disturbance input.In particular, timevarying delay limited maximum variation between two consecutive times is considered.In this sense, convex conditions for synthesis state-feedback controllers are proposed.Such compared to those proposed in (de Souza et al., 2018b), which deals same but employs different techniques formulating their conditions.A...

This paper aims at designing both a nonstandard anti-windup action and an event-triggering mechanism that reduce the transmission activity on network while preserving asymptotic stability of linear system under dynamic output-feedback controller. The policy is based use additional internal variable. term, which uses difference between transmitted current control output, added to controller structure further save communication resources. Sufficient conditions in terms matrix inequalities are...

In this paper, we propose an event-triggered control strategy based on a dynamic output-feedback controller for stabilizing discrete-time linear parameter-varying (LPV) sys- tems. Such has anti-windup term and is partially dependent time-varying parameters. To economize the limited network resources, two event generators are introduced sensor-to-controller controller-to-actuator channels. They decide whether current output measurement input should be sent through or not. Sufficient...

This paper shows a new manner to establish the thrust of linear induction machine. A factor is established, named "Relation Factor", which provides conditions and other important variables sector machines.