<![CDATA[ IEEE Transactions on Systems, Man, and Cybernetics: Systems - new TOC ]]>
http://ieeexplore.ieee.org
TOC Alert for Publication# 6221021 2018December 06<![CDATA[Table of contents]]>4812C12025454<![CDATA[IEEE Transactions on Systems, Man, and Cybernetics publication information]]>4812C2C2118<![CDATA[New Methods of Fuzzy Sampled-Data Control for Stabilization of Chaotic Systems]]>481220262034857<![CDATA[HMM-Based <inline-formula> <tex-math notation="LaTeX">$mathcal{H}_{infty}$ </tex-math></inline-formula> Filtering for Discrete-Time Markov Jump LPV Systems Over Unreliable Communication Channels]]>∞ error performance. The influence of monotonicity on the performance index is explored while changing the degree of both additive noise and mode inaccessibility. The effectiveness and applicability of the obtained results are finally verified by two numerical examples.]]>4812203520464164<![CDATA[Distributed <inline-formula> <tex-math notation="LaTeX">$H_infty$ </tex-math></inline-formula> State Estimation for a Class of Filtering Networks With Time-Varying Switching Topologies and Packet Losses]]>∞ state estimation problem is investigated for a class of filtering networks with time-varying switching topologies and packet losses. In the filter design, the time-varying switching topologies, partial information exchange between filters, the packet losses in transmission from the neighbor filters and the channel noises are simultaneously considered. The considered topology evolves not only over time, but also by event switches which are assumed to be subjects to a nonhomogeneous Markov chain, and its probability transition matrix is time-varying. Some novel sufficient conditions are obtained for ensuring the exponential stability in mean square and the switching topology-dependent filters are derived such that an optimal H_{∞} disturbance rejection attenuation level can be guaranteed for the estimation disagreement of the filtering network. Finally, simulation examples are provided to demonstrate the effectiveness of the theoretical results.]]>481220472057779<![CDATA[Nonfragile <inline-formula> <tex-math notation="LaTeX">$mathcal{H}_{infty}$ </tex-math></inline-formula> Control for Fuzzy Markovian Jump Systems Under Fast Sampling Singular Perturbation]]>H_{∞} control problem for discrete-time fast sampling Markovian jump singularly perturbed nonlinear systems described by the Takagi-Sugeno fuzzy model. By utilizing singular perturbation theory, a singular perturbation parameter (SPP) independent, i.e., ε-independent, condition is derived to make sure the underlying closed-loop system's stability and a mixed H_{∞} and passive performance γ, simultaneously. The ill-conditioned case caused by SPP could be eliminated on the basis of such a condition. With the aid of the stochastic analysis approach, the desired controller gains can be obtained, where the nonfragile property is fully considered to improve the tolerance of controller. Furthermore, a technique is developed to estimate the upper bound of SPP ε in this paper by employing a useful inequality. The availability and practicability of the proposed design method are finally explained via a practical example of a tunnel diode circuit with a modified model and a numerical example.]]>4812205820691056<![CDATA[<inline-formula> <tex-math notation="LaTeX">$H_{infty}$ </tex-math></inline-formula> Fault Estimation for 2-D Linear Discrete Time-Varying Systems Based on Krein Space Method]]>∞ fault estimation problem for 2-D linear discrete time-varying systems with bounded unknown input and measurement noise. The main contribution of this paper is the H_{∞} fault estimator for 2-D systems with a necessary and sufficient existence condition. By introducing a partially equivalent stochastic dynamic system in Krein space, the necessary and sufficient condition for the existence of the H_{∞} fault estimator is derived based on innovation analysis and projection formula in Krein space. Then, the solution of the estimator is achieved by means of a Riccati-like difference equation for 2-D systems. Finally, a thermal process example is given to demonstrate the effectiveness of the proposed method.]]>481220702079675<![CDATA[The 2-Rank Consensus Reaching Model in the Multigranular Linguistic Multiple-Attribute Group Decision-Making]]>4812208020941868<![CDATA[Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients]]>4812209521041546<![CDATA[Output Synchronization and <inline-formula> <tex-math notation="LaTeX">$L_{2}$ </tex-math></inline-formula>-Gain Analysis for Network Systems]]>2 analysis of network systems is presented in this paper. Nodes in the heterogeneous network have nonidentical dynamics. The designed distributed controller contains reference generator to copy the dynamics of the target trajectory and robust regulator (RG) to achieve synchronization purpose. All RGs adopt the network communication channels to exchange system information. The distributed control law is calculated on static output feedback and ensure outputs of RGs converges to the target trajectory. Meanwhile, each nonidentical node tracks its RG with L_{2} performance index. The controller design strategy is presented in the obtained necessary and sufficient conditions. Finally, the effectiveness of the controller design strategy is demonstrated by a numerical example.]]>4812210521141342<![CDATA[A Real-Time Sequential Ship Roll Prediction Scheme Based on Adaptive Sliding Data Window]]>4812211521251663<![CDATA[Event-Based Synchronization of Heterogeneous Complex Networks Subject to Transmission Delays]]>481221262134579<![CDATA[Neuro-Adaptive Distributed Control With Prescribed Performance for the Synchronization of Unknown Nonlinear Networked Systems]]>4812213521441524<![CDATA[Approximation-Based Adaptive Tracking Control for Switched Stochastic Strict-Feedback Nonlinear Time-Delay Systems With Sector-Bounded Quantization Input]]>4812214521571272<![CDATA[First-Level Hypergame for Investigating Misperception in Conflicts]]>481221582175985<![CDATA[Social Behavioral Information Fusion in Multimodal Biometrics]]>4812217621871785<![CDATA[The Application of Noise-Tolerant ZD Design Formula to Robots’ Kinematic Control via Time-Varying Nonlinear Equations Solving]]>481221882197585<![CDATA[Robust Identification of LPV Time-Delay System With Randomly Missing Measurements]]>4812219822081121<![CDATA[Fuzzy Adaptive Control Design Strategy of Nonlinear Switched Large-Scale Systems]]>481222092218736<![CDATA[Adaptive Neural Tracking Control for an Uncertain State Constrained Robotic Manipulator With Unknown Time-Varying Delays]]>481222192228685<![CDATA[A Novel Memory Filtering Design for Semi-Markovian Jump Time-Delay Systems]]>∞ memory filtering for continuous-time semi-Markovian jump linear systems (MJLSs) with time-varying delay in an input-output framework. Differing from the constant transition rates (TRs) in the conventional MJLSs, the TRs of the semi-MJLSs depend on the random sojourn-time and are thus with time-varying characteristics. By utilizing a two-term approximation for the terms with time-varying delay, it is first shown that the filtering error system (FES) can be reformulated into a feedback interconnection form and the stability and performance analysis problem of the FES can be recast as the scaled small gain (SSG) problem of an interconnected system. Then, based on a semi-Markovian Lyapunov-Krasovskii formulation of SSG condition combined with projection lemma, the H_{∞} filter synthesis for the underlying semi-MJLSs is formulated in terms of linear matrix inequalities. Finally, simulation studies are provided to evaluate the effectiveness and superiority of the proposed design method.]]>481222292241863<![CDATA[Positive Edge Consensus of Complex Networks]]>4812224222501210<![CDATA[Relaxed Control Design of Discrete-Time Takagi–Sugeno Fuzzy Systems: An Event-Triggered Real-Time Scheduling Approach]]>481222512262870<![CDATA[Distributed <inline-formula> <tex-math notation="LaTeX">$H_{infty}$ </tex-math></inline-formula> Filtering for Switched Repeated Scalar Nonlinear Systems With Randomly Occurred Sensor Nonlinearities and Asynchronous Switching]]>∞ filtering for a class of switched repeated scalar nonlinear systems with randomly occurred sensor nonlinearities and asynchronous switching due to practical reasons. The possibility of randomly occurred sensor nonlinearities is described by a Bernoulli stochastic variable, and the asynchronous switching filtering means that the mode of the plant is different from the mode of the designed filter possibly. A distributed filtering network is used to estimate the system state instead of a filter to improve reliability in case of faults of the filter. A distributed mode-dependent filter is designed by constructing a unified mode-dependent Lyapunov function and solving a set of linear matrix inequalities. Some novel sufficient conditions are obtained by using the average dwell time switching mechanism such that the augmented filtering error system is stochastically exponentially stable and achieves a prescribed H_{∞} disturbance attention index. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed designed method.]]>481222632270743<![CDATA[Nonfragile Sampled-Data Synchronization for Delayed Complex Dynamical Networks With Randomly Occurring Controller Gain Fluctuations]]>4812227122811106<![CDATA[Adaptive Fuzzy Tracking Control for a Class of Switched Uncertain Nonlinear Systems: An Adaptive State-Dependent Switching Law Method]]>4812228222911414<![CDATA[Antidisturbance Control for a Suspension Cable System of Helicopter Subject to Input Nonlinearities]]>4812229223041035<![CDATA[Design and Analysis of Quaternion-Valued Neural Networks for Associative Memories]]>4812230523141282<![CDATA[A Kernel-Based Compressive Sensing Approach for Mobile Data Gathering in Wireless Sensor Network Systems]]>${m=O}({klog } ({n/k}))$ measurements collected by a mobile collector are sufficient to recover a ${k}$ -sparse signal and ${t=O(klog (n/k))}$ steps are required to collect these measurements in a network with ${n}$ nodes. Finally, we also present extensive numerical results to validate the effectiveness of the proposed scheme by evaluating the performance in terms of energy consumption and the impact of packet losses. The numerical results demonstrate that the proposed scheme is able to not only significantly reduce communication cost but also combat unreliable wireless links under various packet losses compared to the state-of-the-art schemes, which provides an efficient alternative to data relaying approaches for CDG in-
WSNS.]]>4812231523271518<![CDATA[Observer-Based Consensus for Multiagent Systems Under Stochastic Sampling Mechanism]]>4812232823382508<![CDATA[Feeling the Shape: Active Exploration Behaviors for Object Recognition With a Robotic Hand]]>4812233923481020<![CDATA[Adaptive Fuzzy Prescribed Performance Control of Nonlinear Systems With Hysteretic Actuator Nonlinearity and Faults]]>4812234923581509<![CDATA[RISE-Based Asymptotic Prescribed Performance Tracking Control of Nonlinear Servo Mechanisms]]>4812235923701828<![CDATA[Finite-Time Stabilizability and Instabilizability for Complex-Valued Memristive Neural Networks With Time Delays]]>4812237123821333<![CDATA[Observer and Stochastic Faulty Actuator-Based Reliable Consensus Protocol for Multiagent System]]>4812238323931326<![CDATA[Opinion Dynamics-Based Group Recommender Systems]]>4812239424063308<![CDATA[Observer-Based Adaptive Output-Feedback Fault-Tolerant Control of a Class of Complex Dynamical Networks]]>4812240724181363<![CDATA[Fuzzy Generalized <inline-formula> <tex-math notation="LaTeX">$mathcal{H}_{2}$ </tex-math></inline-formula> Filtering for Nonlinear Discrete-Time Systems With Measurement Quantization]]>2 filter design problems are addressed for a class of nonlinear discrete-time systems with measurement quantization. The considered nonlinear system is represented by Takagi-Sugeno fuzzy model and the system measurement output is quantized by a dynamic quantizer constituted by a static quantizer and a dynamic parameter before it is transmitted to the filter. The attention is focused on the design of both fulland reduced-order filters and the quantizer dynamic parameter such that the quantized filtering error systems are asymptotically stable with prescribed generalized H_{2} performances. Superior to existing results on the quantized filtering design, the proposed one is given under a unified linear matrix inequality (LMI) characterization, it is shown that the design problem can be solved if the LMIs conditions are feasible. Finally, simulation examples will be exploited to illustrate the effectiveness of the developed quantized generalized H_{2} filtering methods.]]>481224192430823<![CDATA[Trajectory Tracking Control for the Flexible Wings of a Micro Aerial Vehicle]]>4812243124411657<![CDATA[Filtering of T–S Fuzzy Systems With Nonuniform Sampling]]>481224422450850<![CDATA[Efficient Outlier Detection for High-Dimensional Data]]>4812245124611296<![CDATA[Local Consensus of Nonlinear Multiagent Systems With Varying Delay Coupling]]>4812246224691091<![CDATA[Improved Delay-Dependent Stability Criteria for Telerobotic Systems With Time-Varying Delays]]>4812247024841836<![CDATA[Discrete-Time MIMO Reset Controller and Its Application to Networked Control Systems]]>4812248524941018<![CDATA[Stability Analysis for Systems With Time Delays via New Integral Inequalities]]>481224952501626<![CDATA[Special Issue on New Trends in Energy Internet: Artificial intelligence-Based Control, Network Security and Management]]>481225022503895<![CDATA[Introducing IEEE Collabratec]]>4812250425042095<![CDATA[IEEE Systems, Man, and Cybernetics Society Information]]>4812C3C3109<![CDATA[Information For Authors]]>4812C4C4113