We consider the stabilization problem for a class of networked control systems in discrete-time domain with random delays. The sensor-to-controller and controller-to-actuator delays are modeled as two Markov chains, resulting closed-loop jump linear modes. necessary sufficient conditions on existence stabilizing controllers established. It is shown that state-feedback gains mode-dependent. An iterative matrix inequality (LMI) approach employed to calculate gains.

This note is concerned with the stability analysis of discrete-time systems time-varying state delay. By defining new Lyapunov functions and by making use novel techniques to achieve delay dependence, several conditions are obtained for asymptotic these systems. The merit proposed lies in their less conservativeness, which achieved circumventing utilization some bounding inequalities cross products between two vectors paying careful attention subtle difference terms Sigma <sub...

This paper investigates the problem of robust H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> estimation for uncertain systems subject to limited communication capacity. The parameter uncertainty belongs a given convex polytope and limitations include measurement quantization, signal transmission delay, data packet dropout, which appear typically in network environment. filter design is first solved nominal system aforementioned...

This paper considers the problem of robust H/sup /spl infin// filtering for uncertain Markovian jump linear systems with time-delays which are time-varying and depend on system mode. The parameter uncertainties norm-bounded. aim this is to design a filter that ensures exponential mean-square stability error prescribed L/sub 2/- induced gain from noise signals estimation error, all admissible uncertainties. A sufficient condition solvability obtained. desired can be constructed by solving set...

This note is concerned with stability and controller design of networked control systems (NCSs) packet dropouts. New NCS models are provided considering both single- multiple-packet transmissions. Both sensor-to-controller (S/C) controller-to-actuator (C/A) dropouts modeled their history behavior described by different independent Markov chains. In term the given models, sufficient conditions for stochastic derived in form linear matrix inequalities (LMIs) corresponding laws given. Numerical...

In this note, we apply a hierarchical identification principle to study solving the Sylvester and Lyapunov matrix equations. our approach, regard unknown be solved as system parameters identified, present gradient iterative algorithm for equations by minimizing certain criterion functions. We prove that solution consistently converges true any initial value, illustrate rate of convergence can enhanced choosing factor (or step-size) appropriately. Furthermore, method is extended solve general...

This note deals with the problems of robust stochastic stabilization and H ∞ control for uncertain systems a time-varying delay in state. The parameter uncertainties are assumed to be norm-bounded appearing both state input matrices. purpose problem is design memoryless feedback controller such that closed-loop system mean-square asymptotically stable all admissible uncertainties. In problem, addition asymptotic stability requirement, prescribed performance required achieved. terms linear...

This paper is concerned with the problem of H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> output tracking for network-based control systems. The physical plant and controller are, respectively, in continuous time discrete time. By using a sampled-data approach, new model based on updating instants holder formulated, linear matrix inequality (LMI)-based procedure proposed designing state-feedback controllers, which guarantee that...

In this paper we study coupled matrix equations, which are encountered in many systems and control applications. First, extend the well-known Jacobi Gauss--Seidel iterations present a large family of iterative methods, then applied to develop solutions Sylvester equations. The basic idea is regard unknown matrices be solved as parameters system identified obtain by applying hierarchical identification principle. Next, generalize equations general propose gradient-based algorithm for...

This paper presents a new approach to solving the problem of stabilization for networked control systems. Mean-square asymptotic stability is derived closed-loop systems, and based on this, controller design procedure proposed purpose. An inverted pendulum system utilized show effectiveness applicability results.

Like general network communication, there are network-induced delays, data packet dropout and disordering in the communication of wide-area measurement systems. What impact do these factors have on control closed-loop power systems? This study aims at developing methods order to take into account First, a networked system model is constructed for systems; this model, dropout, captured by time-varying delays Then, linear matrix inequality based applied design controller better performance...

Alarm systems play critically important roles for the safe and efficient operation of modern industrial plants. However, most existing alarm suffer from poor performance, noticeably having too many alarms to be handled by operators in control rooms. Such overloading is extremely detrimental role played systems. This paper provides an overview Four main causes are identified as culprits overloading, namely, chattering due noise disturbance, variables incorrectly configured, design isolated...

In this paper, a security problem in cyberphysical systems (CPS) is studied. A remote state estimation process using multiple sensors considered. The measurement innovation packets from each sensor, which may be modified by malicious attacker, are sent to fusion center through wireless communication channels. To avoid being detected typical bad data detectors at the estimator's side, attacker would maintain statistical properties of measurements. Based on information extracted trusted and...

For multivariable discrete-time systems described by transfer matrices, we develop a hierarchical least squares iterative (HLSI) algorithm and (HLS) based on identification principle. We show that the parameter estimation error given HLSI converges to zero for deterministic cases, estimates HLS consistently converge true parameters stochastic cases. The algorithms proposed have significant computational advantage over existing algorithms. Finally, test an example their effectiveness.