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Two methods to solve the deadlock problem are analyzed. One is a deadlock prediction mechanism and another is to add a Virtual Output Queue (VOQ) between a local memory access controller (LMAC) of the sender and an intra-switch. The former mechanism does not occupy extra memory space but performs in lower throughput when the number of nodes participating in the packet transmission is odd. The latter...
In multiuser networks, selfish users refuse to provide other users with their own energy and computing resources. In order to encourage selfish users to offer their resources, a cooperation incentive mechanism based on users trust degree evaluation is proposed. The mechanism helps relays to decide whether to participate in the cooperation or not by comparing trust value. Selfish users with lower trust...
A high-efficient fault attack on AES S-box is proposed in this paper. Faults are introduced in the encryption process by changing the mapping relationship of S-box. Based on the round in which the faults are introduced, two fault models are presented. Attack results show that the first model only needs 16 faulty ciphertexts to recover the 128-bit secret key. The second fault model is more efficient...
Since proposed by NSA in June, 2013, SIMON and SPECK families have attracted the attention of massive cryptographers. More recently, at CHES 2015, a lightweight block cipher Simeck is proposed, which has adopted the merits from both SIMON and SPECK. However, the security level on Simeck against integral cryptanalysis has never been evaluated. This paper firstly proposes some theoretical and experimental...
A distributed scheduling strategy is designed in this paper for a security detection platform containing mass mobile applications. This strategy proposes a load-balancing algorithm, which is based on the dynamic feedback and achieves remarkable simplification and efficiency. It not only solves the problem that massive mobile applications are detected in slow speed, but also can support the expansion...
In a key-aggregate encryption scheme, different secret keys for decrypting different categories of ciphertext can be aggregated to a single key, and a ciphertext can be decrypted with the key iff the ciphertext's class belongs to the set which the key includes categories. A promising application of key-aggregate encryption is convenient of data sharing in outside storage. In this work, the authors...
In this paper, the problem of adaptive backstepping control for uncertain systems in the presence of unmodeled dynamics and input time-varying delays is studied. Under some mild assumptions, a robust adaptive controller is designed such that the system is globally stabilized by using adaptive backstepping technique. Meanwhile, the transient system performance in L2 and norms of system output can be...
In order to reduce the redundancy of the traffic safety messages in the control channel and improve the successful messages delivery ratio, a traffic safety messages fusion algorithm is proposed based on the fuzzy theory. Here the correlation of messages between space and speed from different vehicles can be computed by fuzzy reasoning. And a group of optimal weight can be found using the least square...
This paper investigates exponential stabilization of nonlinear switched systems with actuator saturation. Multiple Lyapunov functions approach is employed to obtain the stabilization sufficient conditions of the nonlinear switched systems under the time-dependent and state-dependent switching rules, respectively. Furthermore, several optimization problems are given to optimize the attractive region...
This paper is concerned with the decentralized controller synthesis problem for a class of large-scale Takagi-Sugeno (T-S) fuzzy affine systems. The main purpose is to synthesize decentralized piecewise affine controllers such that the resulting closed-loop large-scale system is asymptotically stable with an admissible performance index. Based on common/piecewise quadratic Lyapunov functions, two...
This paper designs a prescribed performance adaptive fuzzy controller for nonlinear systems appearing input saturation. Using the property of fuzzy logic systems, the unknown nonlinear characteristics existing in the system is approximated. To address the input nonlinearity, that is, input saturation, an auxiliary system is introduced. Combining adaptive backstepping control technique and the fuzzy...
Due to unmanned surface vehicle (USV) has the features of underactuated and nonlinear, it control problems have always been the difficulty in the field of study and course control is the basis of its various controls. So in this paper, nonlinear USV model is identified and model's validity is verified by rotation test and Z test firstly. Then, for the uncertainty model parameters and random disturbance,...
This paper is to design attitude coordination control strategies for multiple spacecraft by state feedback and output feedback. Based on Lyapunov theory and graph theory, first, bounded coordination synchronization controllers are developed by state feedback. Second, output feedback controllers are developed for coordination synchronization(i.e. without angular velocity feedback), it can guarantee...
A robust adaptive neural control design approach is presented for a class of perturbed pure-feedback nonlinear systems with unknown dead-zone input. In the controller design, the implicit function theorem and the mean value theorem were employed to overcome the problem of controller circular construction. And by using the technique of single neural network online approximation, the complexity of the...
A single neural network approximation-based adaptive control design approach is presented for a class of uncertain strict-feedback nonlinear systems. In the controller design, all the unknown terms at intermediate steps are passed down and approximated by a single neural network at the last step. By this way, the controller consisting of an actual control law and an adaptive law can be given directly...
This paper presents an adaptive Radial Basis Function (RBF) neural network controller for the nonlinear course control of unmanned surface vessel (USV) with modeling errors and unknown bounded environment disturbances. An adaptive RBF neural network system is employed to approximate the uncertain term induced by modeling errors and unknown bounded environment disturbances. It is theoretically proved...
This paper considers the stabilization problem of an underactuated surface vessel with the roll. First a state transformation is proposed to facilitating the calculator. Then we proposed a time-varying control law to make the states of the vessel asymptotically stable. At last the simulation indicates that the transformation has the advantage and the control law is effective.
Tracking control design for a class of nonlinear dual-actuator systems is considered in this paper. The dual-actuator system is composed of a nonlinear primary actuator with unknown dynamics and an explicit nonlinear secondary actuator. Time-based switching control law is developed for the primary actuator and sliding mode feedback controller is proposed for the secondary actuator so that the asymptotic...
Podded propulsion ship is a new type of electric propulsion ship, through the detailed analysis of its characteristics of the mechanism, the maneuvering mathematical model of MMG(mathematical model group) mechanism was established, and it explained the podded electric propulsion ship has a better maneuverability. The actual podded propulsion ship course control was given a detailed introduction, on...
This paper is concerned with the problem of modeling traffic flow at the intersections. First of all, a positive switched system is used to model a single intersection which is the smallest unit of traffic systems. Secondly, model of two coupled intersections is presented on the basis of a multi-agent approach.
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