This paper is concerned with the stability analysis for a class of MIMO networked control systems (NCSs) with network constraints. In view of MIMO NCSs where network is of limited access channels, a discrete-time switched delay model is formulated. By constructing a novel piecewise Lyapunov-Krasovskii functional, a new stability criterion is developed in terms of linear matrix inequalities. A numerical example is given to show the effectiveness of the proposed method.

In this paper, the problems of the exponential stability and stabilization for a class of discrete systems with time-varying delays are considered. By converting discrete systems with time-varying delays into switched systems and using the average dwell-time method, a new stability criterion is obtained and presented in terms of linear matrix inequality. Based on the obtained stability condition, a design method for the feedback controller to stabilize the system is also proposed. Finally, some numerical examples are given to show the effectiveness of the proposed method.

This paper discusses the control of a magnetic levitation (MagLev) system over networks. In order to improve the control performance, the networked predictive control method is employed based on the feedback linearization and direct local linearization models of the nonlinear MagLev system. Further a test-rig is set up to implement the above control. Simulation and experiment results show that the networked predictive control has clear performance advantages over other networked control strategies which do not incorporate compensation for the network-induced delay.

A packet-based deadband control approach is proposed for Networked Control Systems (NCSs). Within the packet-based control framework for NCSs, the proposed deadband control strategy takes full advantage of the packet-based data transmission in NCSs, and thus considerably reduces the use of the communication resources in NCSs whilst maintaining the system performance at a satisfactory level. The stability conditions of the closed-loop system are obtained and a numerical example illustrating the effectiveness of the proposed approach is presented.

In this paper, the packet-based control approach to networked control systems (NCSs) is extended to the continuous-time case with the use of a discretization technique for continuous network-induced delay. The derived approach can effectively simultaneously deal with network-induced delay, data packet dropout, and data packet disorder and leads to a novel model for NCSs. This model offers the designer the freedom of designing different controllers with respect to specific network conditions, which is distinct from previous results and ensues better system performance. By applying switched system theory, the stability criterion for the derived model is obtained, which is then used to obtain an linear matrix inequality-based stabilized controller design method for the packet-based control approach. A numerical example is also presented, which illustrates the effectiveness of the proposed packet-based control approach by comparison.

In this paper, the packet-based control approach to networked control systems is extended to the continuous time case, with the use of a discretization technique for the continuous network-induced delay. The derived approach can effectively deal with network-induced delay, data packet dropout and data packet disorder simultaneously, and also leads to a novel model for networked control systems. This model offers the designer the freedom of designing different controllers with respect to specific network conditions, which is distinct from previous results and is expected to result in better performance. By applying switched system theory, the stability criterion for the closed-loop system is obtained. A numerical example to illustrate the effectiveness of the proposed approach is also presented.

In this paper, a predictive control-based approach is proposed for a Hammerstein-type system which is closed through some form of network. The approach uses a two-step predictive controller to deal with the static input nonlinearity of the Hammerstein system and a delay and dropout compensation scheme to compensate for the communication constraints in a networked control environment. Theoretical results are presented for the closed-loop stability of the system. Simulation examples illustrating the validity of the approach are also presented.

In this letter, a new method is proposed for stability analysis of neural networks (NNs) with a time-varying delay. Some less conservative delay-dependent stability criteria are established by considering the additional useful terms, which were ignored in previous methods, when estimating the upper bound of the derivative of Lyapunov functionals and introducing the new free-weighting matrices. Numerical examples are given to demonstrate the effectiveness and the benefits of the proposed method.

This letter is concerned with the stability analysis of neural networks (NNs) with time-varying interval delay. The relationship between the time-varying delay and its lower and upper bounds is taken into account when estimating the upper bound of the derivative of Lyapunov functional. As a result, some improved delay/interval-dependent stability criteria for NNs with time-varying interval delay are proposed. Numerical examples are given to demonstrate the effectiveness and the merits of the proposed method.

This paper is concerned with the design of networked control systems (NCSs) with random network delay in the feedback channel and gives stability criteria of closed-loop networked predictive control systems. The principle of predictive control is adopted to overcome the effects of network time delay. The necessary and sufficient conditions on the stability of the closed-loop NCS are derived, which provides useful analytical stability criteria. The closed-loop networked predictive control system with bounded random network delay is stable if the corresponding switched system is stable. Simulation and real-time results give an illustration of the proposed control strategies

CLICK-IT (CSIRO Laboratory for Imaging by Content and Knowledge-Interactive Television) is a PC-based system which provides the user with an intelligent highlighter pen for sports action replay. It is intended as a truly interactive improvement on the drawing pad technology currently used for video annotation in sports broadcasting. The system uses computer vision techniques to focus attention and track particular objects, e.g. player(s) or ball, and semiautomatically annotate the dynamic scene. This paper describes the system including the user interface, the tracking technology based on colour and motion information, and system performance evaluation in applications to running rugby league football, basketball and soccer.

The equations that govern the behavior of steel under-going reduction are complex differential equations. A method of solving these equations using a hybrid computer is described, and the peculiar problems associated with such a solution are discussed. In the hybrid implementation, differential equations can be solved very fast, and the speed of solution is governed by the number of samples one requires of the trajectory from the analog computer for useful computation in the digital computer. Thus, methods are described whereby the number of samples taken can be reduced and the accuracy of the manipulations performed by the digital computer can still be maintained. The results obtained are both accurate and rapid, and the system has the normal engineering appeal of a purely analog solution.