The reachable set analysis for the semi⁃Markov jump linear system (S⁃MJLS) with mismatched control form was researched. Without considering the bounded transfer rate constraint,a controller was designed that allowed the controller mode to be mismatched with the system mode, sufficient conditions were gotten that the system state trajectory was bounded. Then, control strategies of mode independent and mode dependent were also considered, some generalizations of uncertain and partially known correlation matrices were further discussed.Finally, the effectiveness and superiority of modal mismatch control methodwere verified by examples and simulation results.

This paper focused on the consensus problem of linear multi⁃agent systems via a pinning controller with protocol failure. A network model of connection failure was established,the dwell time of the model was constant.A Lyapunov function approach based on such two states was developed to analyse its consensus. Concise conditions with smaller computation complexity were proposed and depended on such dwell times. Then, two sufficient conditions for the existence of a pinning consensus controller with failures were established. Finally, a practical example was used to demonstrate the effectiveness of the proposed methods.

With the continuous development of target detection technology,the vehicle detection system for road scenes has been widely used in the field of automatic driving. Compared with the traditional target detector, though the target of vehicle detection is relatively simple, two major problems need to be solved. First, the characteristics which provided to the detector are usually incomplete in some complex road scenes, and other problems such as occlusion and deformation will occur. Second, it is necessary to estimate the distance of different vehicles to ensure the car can make timely evasive action in the process of automatic driving, which means it needs depth estimation of the target area of the image. Aiming at these two problems, a vehicle detection system based on anti⁃sample generation and depth map reconstruction was proposed. A confrontation network was designed for the pre⁃training target detection network called Faster⁃RCNN, which was used to generate a large number of samples during the training process, and train the vehicle detector with these samples. According to the detection results, the vehicle distance is estimated to inform the system to make evasive action in time through the reconstruction of 3D scene and camera pose recovery depth map. The experimental results show that this detection system can improve the detection effect and estimate the distance of the target vehicle without increasing the data training sample.

This paper studies the stability of complex network systems with nonlinear coupled nodes. For the network coupying matries,the switching points of sub⁃systems discrete points in complex networks by using method that the Nimensinal complex network system transformed into the form of kronecker product.Then based on the Lyapunov function method, sufficient conditions for the stability of complex network systems are obtained. Based on the Lyapunov stability determination method, sufficient conditions for satisfying the stability of complex network systems are obtained. Finally, numerical examples are given to verify the effectiveness of the design method.

This paper focuses on the fault detection of a class of discrete-time systems with random faults and proposes a fault-dependent approach. Firstly, a mathematical model is constructed to describe the above problems, and the characteristics of fault signals are transformed into matrices containing uncertainties. By constructing a fault detection filter as a residual generator, the fault detection and isolation (FDI) problem is transformed into a H_∞filtering problem. Based on the established model, the  H_∞ performance is analyzed by adopting a fault-dependent method. The parameter-dependent Lyapunov function is selected for processing. On this basis, the existence condition of the fault detection filter is given in the form of linear matrix inequalities. Finally, an example is used to verify the effectiveness and practicability of the theoretical results.

It was focused on the pinning control problem for a class of complex dynamic networks with linearly continuoustime coupled nodes. A new method for designing pinning controllers with stochastic pinning viewpoint is firstly proposed, which is referred to be stochastic pinning control. By adding such a controller to a fraction of nodes the stochastic stability of the entire complex networks can be guaranteed. It is claimed that the stochastic pinning control method without adding the selected nodes always could also stabilize the complex networks. By exploiting the robust method, sufficient condition is given for a kind of generally complex networks with coupling matrix changing to be another one, where the designed stochastic pinning controller is still available. Based on the established results, some results with the expectation of Bernouli variable uncertain and unknown are presented too. Finally, the correctness and effectiveness of the proposed methods is verified by a numerical example.

In view that the transition probability matrix (TPM) can only get part of the measurement data, the H control problem of discretetime Markov jump systems is considered by using an optimal estimation method. Firstly, an optimal estimation of TPM is obtained. Then, several sufficient existence conditions for modedependent H controllers are established in terms of linear matrix inequalities (LMIs). Comparing with the traditional results developed by the robust method, the proposed results in this paper are less conservative. Finally, the utility and superiority of the proposed method are verified by numerical examples.

In the actual systems, due to the computation accuracy or parameter drift affecting the controllers, the control effect of the original design would be inevitably destroyed. To deal with this problem, the nonfragile guaranteed cost control of singular Markov jump system with time delays was considered. Under the conditions of perturbation with addition and multiplication properties, the sufficient existence conditions for control gain were expressed by linear matrix inequalities respectively. In the case, the guaranteed cost control of singular Markov jump system with timedelay could be achieved. Finally, the effectiveness of the method was verified by a numerical example.