Publications

This paper reports a hardware implementation for real-time global asymptotic stabilization of the chaotic Chen's system from the inverse optimal control approach

The paper deals with the security control stabilization problem of uncertain Markov jump power systems with input dead zone under stochastic denial-of-service (DoS) attack. DoS attack is modeled as a discrete-time Markov process. Dual hidden Markov models are respectively used to detect the modes of the original power systems and the one under DoS attack. Based on the detected modes and neural networks (NNs), adaptive NN-based security asynchronous control strategies are proposed, where both state feedback and output feedback are studied simultaneously. With the developed control laws, all trajectories of the closed-loop systems are bounded stable in the stochastic setting. Simulation results demonstrate the correctness and usefulness of the proposed techniques.

No abstract is provided for this article.

This paper is concerned with the realization problem of biquadratic impedances as a five-element bridge network with one inductor and one capacitor. First, a group of networks that can handle all the cases are listed, which are classified as three quartets. Then, together with the principle of duality, the realizability conditions of two quartets among them are derived. In the process of the derivation, the realizability conditions based on the existence of positive roots that satisfy certain conditions are converted into the conditions only in terms of the coefficients of the function. Finally, utilizing a canonical form of biquadratic functions, combining the conditions yields a necessary and sufficient condition for any biquadratic impedance to be realizable as a five-element bridge network with one inductor and one capacitor.

In this paper, the electrochemiluminescence (ECL) behavior of bis-[3,4,6-trichloro-2-(pentyloxycarbonyl)-phenyl] oxalate (BTPPO) at glassy carbon electrode (GCE) in phosphate buffer solution in the presence of hydrogen peroxide has been investigated when linear sweep voltammetry was applied. The optimum chemical conditions and electrochemical parameters for this ECL system have been investigated in detail. Under the optimum conditions, it was found that the concentration of BTPPO was linear with the ECL intensity in the range of 3.0×l0−6 to 3.0×10−4 mol/L, and the detection limit (S/N=3) for BTPPO was 1.0×10−7 mol/L. The possible mechanism for ECL of BTPPO at the GCE in the presence of hydrogen peroxide was also discussed. Furthermore, based on the fact that glucose oxidase can react with glucose to produce hydrogen peroxide, a new ECL sensing system of BTPPO has been developed for detection of glucose. The enhanced ECL intensity has a linear relationship with the concentration of glucose in the range of 1.0×l0−4 to 1.0×10−3 mol/L, and the detection limit for glucose is found to be 5.0×10−5 mol/L (S/N=3).

This paper reviews some main results and progress in distributed multi-agent coordination, focusing on papers pub- lished in major control systems and robotics journals since 2006. Distributed coordination ofmultiple vehicles, including unmanned aerial vehicles, unmanned groun dv ehicles, and unmanned under- water vehicles, has been a very active research subject studied ex- tensively by the systems and control community. The recent re- sults in this area are categorized into several directions, such as consensus, formation control, optimization, and estimation. After the review, a short discussion section is included to summarize the existing research and to propose several promising research direc- tions along with some open problems that are deemed important for further investigations.

Picture fuzzy set (PFS) is one the reliable tool to handle the uncertainties in the data as compared to the intuitionistic fuzzy set (IFS) or fuzzy set. PFS simultaneously handle the four degrees namely, membership, neutrality, non-membership, and refusal, and thus widely applicable to solve the real-life decision-making problems more accurately. Keeping their advantages, in this paper, we present some interactive operational laws for the picture fuzzy numbers (PFNs) to aggregate picture fuzzy information. Also, we state some new information measures namely picture fuzzy similarity measures (PFSimMs) based on fuzzy strict negations, which can overcome the various drawbacks of the existing PFSimMs. The various properties and their features are studied in detail to show their advantages. Finally, we develop a prospect theory-based multi-attributive border approximation area comparison (MABAC) method under picture fuzzy environment by using the proposed operational laws and PFSimMs to solve the decision-making problems. The applicability of the developed algorithm is explained through a numerical example and show its superiorities.

The [Formula: see text] (SBT) nanometer film can be used as a physical memristive component. Three oscillatory circuits built on the physical SBT memristor are proposed in this paper, one is self-excited oscillatory circuit and two are forced oscillatory circuits. These three oscillatory circuits have simple structures with complex dynamics. The self-excited oscillatory circuit can generate steady periodic oscillations; the first forced oscillatory circuit can generate relatively complex quasi-periodic oscillations, while the second can generate more complex dynamics such as chaotic oscillations. The impacts of the circuit parameter and initial state values of the SBT memristor on the dynamical behaviors of the three oscillatory circuits are investigated via numerical simulations. It is found that the SBT memristor can be used to design various memristor-based circuits. Specifically, in a flux-controlled memristor-based circuit, if an inductor is in parallel with the memristor, the order of the circuit is one less than the number of energy storage elements in the circuit. The equilibrium point of the circuit is different from the typical line equilibrium for autonomous circuits. The initial state value of the memristor has no impact on the steady state of the circuit. The same phenomena are observed for a charge-controlled memristor-based circuit, when a capacitor is in series with the memristor.

In this paper, the global pinning synchronization problem is studied for a complex dynamical network to follow a dynamic target system. A distinguished feature of the present network model is that the target system may have some predesigned control inputs. This implies that, when pinning synchronization is guaranteed, the states of the nodes within such a pinning-controlled dynamical network may approach a specified trajectory which does not satisfy the system equation of the uncoupling individual node system within the network. The practical constraint that the external control inputs acting on the target system are unknown to any node in the considered network poses a big challenge in solving such a pinning synchronization problem. The designed scheme for achieving pinning synchronization is executed in two steps. Specifically, the first step is to select some nodes to pin such that the augmented interaction topology has at least one directed spanning tree rooted at the node describing the target system, while the second step is to construct a coupling law to synchronize all the states of nodes within the network. Moreover, two kinds of discontinuous coupling laws with static and adaptive coupling gains are, respectively, proposed to achieve pinning synchronization. Meanwhile, by utilizing nonsingular ${M}$ -matrix theory and Lyapunov stability analysis for nonsmooth system, some efficient criteria are established for guaranteeing synchronization in the pinning-controlled networks. Numerical simulations on pinning synchronization of networking Chua's circuit systems are finally given to verify the analytic results.