In this paper, the synchronization of N-coupled fractional-order chaotic systems with regular connection topology is presented. Synchronization of coupled Lorenz, Rssler and Chen fractional-order systems with unidirectional coupling is achieved based on a coupling matrix from complex systems theory. Synchronization of this systems is achieved considering a coupling without master node. The interactions in the complex networks are defined by coupling only one state of each fractional-order system. Numerical simulations are provided to verify the effectiveness of this method.

 A pressing issue of Network Control Systems is the time-varying delay which alters the systems performance. The current study designs and analysis a control structure based on a communication disturbance observer for delay compensation for second order linear plants. The proposed networked control system is tested through simulations and experiments, using a new network model recently proposed by the authors, for a scenario involving random delay variation and packets loss during network transmissions.

 This paper proposes an unbiased minimum variance state filter for networked controlled stochastic linear discrete-time systems when the actuator and sensor signals, travelling over an unreliable communication channel, may be totally or partially lost. The proposed strategy for the filter design consists in representing the random losses of control as a random occurrence of intermittent unknown inputs. The existence condition of the unknown input Kalman filter is ensured by an adequate choice of the partial measurements transmitted to the embedded controller via a secure communication network. The stochastic stability of the obtained filter is studied when Bernoulli processes governs the arrival of intermittent unknown inputs and measurements. A numerical example illustrates the obtained results.

 This paper investigates stability of nonlinear control systems under intermittent information. Building on the small-gain theorem, we develop self-triggered control yielding stable closed-loop systems. We take the violation of the small-gain condition to be the triggering event, and develop a sampling policy that precludes this event by executing the control law with up-to-date information. Based on the properties of the external inputs to the plant, the developed sampling policy yields regular stability, asymptotic stability or Lp-stability. Control loops are modeled as interconnections of hybrid systems, and novel results on Lp-stability of hybrid systems are presented. Prediction of the triggering event is achieved by employing Lp-gains over a finite horizon. In addition, Lp-gains over a finite horizon produce larger intersampling intervals when compared with standard Lp-gains. Furthermore, a novel approach for calculation of Lp-gains over a finite horizon is devised. Finally, our approach is successfully applied to a trajectory tracking control system.

 This paper deals with Networked Control Systems (NCS) design, under the constraint of limited bandwidth on the communication channel. A linear quadratic regulator for a fixed sampling period is solved and this result is used for the development of H2 and Hoo performance indexes, yielding to the statement and solution of H2 and Hoo optimal control problems. Finally, a self-triggered controller is designed with a switched system approach in order to improve performance. Examples are presented in order to illustrate the validity of the theory.

 In this paper, the $H_{infty}$ control design under time-varying delays and polytopic-type uncertainties, which ensures the stability and performance (synchronization/transparency) between the master and slave manipulators, is proposed. With this objective, the design of the controller based on our proposed control scheme is performed by using Linear Matrix Inequality (LMI) optimization based on Lyapunov-Krasovskii functionals (LKF) and $H_{infty}$ control theory. The solution is efficient for different working conditions, emph{e.g.} abrupt tracking and wall contact motion, and this is illustrated by a final example.