# IEEE Transactions on Systems, Man, and Cybernetics: Systems

## Issue 11 • Nov. 2018

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## Filter Results

Displaying Results 1 - 22 of 22

Publication Year: 2018, Page(s): C1
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• ### IEEE Transactions on Systems, Man, and Cybernetics publication information

Publication Year: 2018, Page(s): C2
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• ### State Estimation for Periodic Neural Networks With Uncertain Weight Matrices and Markovian Jump Channel States

Publication Year: 2018, Page(s):1841 - 1850
Cited by:  Papers (2)
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This paper studies the state estimator design for periodic neural networks, where stochastic weight matrices${B(k)}$and packet dropouts are considered. The stochastic variables, which may influence each other, are introduced to describe uncertainties of weight matrices. In order to model the time-varying conditions of the comm... View full abstract»

• ### Event-Triggered Fault Detection Filter Design for Nonlinear Networked Systems

Publication Year: 2018, Page(s):1851 - 1862
Cited by:  Papers (2)
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This paper investigates the problem of event-triggered fault detection (FD) filter design for nonlinear networked systems in the framework of interval type-2 fuzzy systems. In the system model, the parameter uncertainty is captured effectively by the membership functions (MFs) with upper and lower bounds. For reducing the utilization of limited communication bandwidth, an event-triggered communica... View full abstract»

• ### Robust Finite-Time Bounded Controller Design of Time-Delay Conic Nonlinear Systems Using Sliding Mode Control Strategy

Publication Year: 2018, Page(s):1863 - 1873
Cited by:  Papers (4)
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The finite-time sliding mode controller design problem of a class of conic-type nonlinear systems with time-delays and mismatched external disturbance is studied. The time-delay conic nonlinearities are considered to lie in a known hypersphere with an uncertain center. A scalar selection criterion dependent sliding mode control (SMC) law is constructed to drive the state trajectories onto the spec... View full abstract»

• ### Event-Triggered Finite-Time Control for Networked Switched Linear Systems With Asynchronous Switching

Publication Year: 2018, Page(s):1874 - 1884
Cited by:  Papers (3)
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This paper is concerned with the event-triggered finite-time control problem for networked switched linear systems by using an asynchronous switching scheme. Not only the problem of finite-time boundedness, but also the problem of input-output finite-time stability is considered in this paper. Compared with the existing event-triggered results of the switched systems, a new type of event-triggered... View full abstract»

• ### Event-Triggered Strategy Design for Discrete-Time Nonlinear Quadratic Games With Disturbance Compensations: The Noncooperative Case

Publication Year: 2018, Page(s):1885 - 1896
Cited by:  Papers (2)
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In this paper, the event-triggered strategy design problem is addressed for a class of discrete-time nonlinear quadratic noncooperative games subject to matched disturbances. The event-triggered scheme is proposed based on the relative error of the input signals with aim to determine whether such signals should be transmitted to the actuator or not. The disturbance-observer-based game strategy is ... View full abstract»

• ### Adaptive Neural Control of Nonlinear Systems With Unknown Control Directions and Input Dead-Zone

Publication Year: 2018, Page(s):1897 - 1907
Cited by:  Papers (4)
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This paper presents an adaptive neural control approach for nonstrict-feedback nonlinear systems in presence of unmodeled dynamics, unknown control directions and input dead-zone nonlinearity. To handle the difficulty due to uncertain control directions, Nussbaum gain functions are applied. Based on the structural characteristic of radial basis function neural networks, a backstepping-based adapti... View full abstract»

• ### Event-Triggered Communication and Data Rate Constraint for Distributed Optimization of Multiagent Systems

Publication Year: 2018, Page(s):1908 - 1919
Cited by:  Papers (2)
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This paper is concerned with solving a large category of convex optimization problems using a group of agents, each only being accessible to its individual convex cost function. The optimization problems are modeled as minimizing the sum of all the agents’ cost functions. The communication process between agents is described by a sequence of time-varying yet balanced directed graphs which are assu... View full abstract»

• ### Finite-Time$\mathcal{L}_{2}$Leader–Follower Consensus of Networked Euler–Lagrange Systems With External Disturbances

Publication Year: 2018, Page(s):1920 - 1928
Cited by:  Papers (2)
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This paper is concerned with finite-time${\mathcal {L}_{2}}$leader–follower consensus of networked Euler–Lagrange systems in the presence of external disturbances. A distributed finite-time${\mathcal {L}_{2}}$control protocol is proposed by using backstepp... View full abstract»

• ### Event-Triggered Pinning Control for Consensus of Multiagent Systems With Quantized Information

Publication Year: 2018, Page(s):1929 - 1938
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In this paper, the problem of distributed event-triggered pinning control for practical consensus of multiagent systems (MASs) with quantized communication based on a directed graph is investigated. The pinning control for practical consensus of MASs with uniform quantizer is first discussed. Then, in order to decrease communication load of interagent, the event-triggered quantized communication p... View full abstract»

• ### Agent-Oriented Cooperative Smart Objects: From IoT System Design to Implementation

Publication Year: 2018, Page(s):1939 - 1956
Cited by:  Papers (3)
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The future Internet of Things (IoT) is expected to enable a new and wide range of decentralized systems (from small-scale smart homes to large-scale smart cities) in which “things” are able to sense/actuate, compute, and communicate, and thus play a central and crucial role. The growing importance of such novel networked cyber-physical context demands suitable and effective computing paradigms to ... View full abstract»

• ### Time-Scale Expansion-Based Approximated Optimal Control for Underactuated Systems Using Projection Neural Networks

Publication Year: 2018, Page(s):1957 - 1967
Cited by:  Papers (3)
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In this paper, a time-scale expansion-based scheme is proposed for approximately solving the optimal control problem of continuous-time underactuated nonlinear systems subject to input constraints and system dynamics. By time-scale Taylor approximation of the original performance index, the optimal control problem is relaxed into an approximated optimal control problem. Based on the system dynamic... View full abstract»

• ### An Augmented Model Approach for Identification of Nonlinear Errors-in-Variables Systems Using the EM Algorithm

Publication Year: 2018, Page(s):1968 - 1978
Cited by:  Papers (2)
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This paper proposes an augmented model approach for identification of nonlinear errors-in-variables (EIVs) systems. An EIV model accounts for uncertainties in the observations of both inputs and outputs. As the direct identification of nonlinear functions is difficult, we propose to approximate the nonlinear EIV model using multiple ARX models. To estimate the noise-free input signal, we use a col... View full abstract»

• ### Composite Learning Control of Flexible-Link Manipulator Using NN and DOB

Publication Year: 2018, Page(s):1979 - 1985
Cited by:  Papers (3)
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This paper investigates the singular perturbation (SP) theory-based composite learning control of a flexible-link manipulator using neural networks (NNs) and disturbance observer (DOB). For the dynamics, the system states are separated into fast and slow variables in terms of time scale. For the multi-input–multi-output slow dynamics, the intelligent control is designed where NNs are used for syst... View full abstract»

• ### Second-Order Consensus for Multiagent Systems via Intermittent Sampled Data Control

Publication Year: 2018, Page(s):1986 - 2002
Cited by:  Papers (2)
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In this paper, a periodic intermittent sampled data control strategy, which both reduces the load of updating rate of the controller and cuts down the working time of the controller in each sampling interval, is proposed to investigate the second-order consensus of multiagent systems. In order to reach consensus, a necessary and sufficient condition depending on the coupling gains, the communicati... View full abstract»

• ### Adaptive Neural Consensus Tracking for Nonlinear Multiagent Systems Using Finite-Time Command Filtered Backstepping

Publication Year: 2018, Page(s):2003 - 2012
Cited by:  Papers (2)
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This paper is concerned with the finite-time consensus tracking control problems of uncertain nonlinear multiagent systems. A neural network-based distributed adaptive finite-time control scheme is developed, which can guarantee the consensus tracking is achieved in finite time with sufficient accuracy in the presence of unknown mismatched nonlinear dynamics. Such a finite-time feature is achieved... View full abstract»

• ### A Partial Least Squares Aided Intelligent Model Predictive Control Approach

Publication Year: 2018, Page(s):2013 - 2021
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A data-driven model predictive control (MPC) that combines modified partial least squares (PLSs) and MPC is proposed in this paper. A theoretical comparison among traditional MPC, MPC in PLS framework and in modified PLS framework is presented, which demonstrates that the proposed MPC approach has high prediction precision and the ability in coping with dynamics in the process compared to MPC in t... View full abstract»

• ### Special Issue on New Trends in Energy Internet: Artificial intelligence-Based Control, Network Security and Management

Publication Year: 2018, Page(s):2022 - 2023
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• ### Introducing IEEE Collabratec

Publication Year: 2018, Page(s): 2024
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• ### IEEE Systems, Man, and Cybernetics Society Information

Publication Year: 2018, Page(s): C3
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• ### Information For Authors

Publication Year: 2018, Page(s): C4
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## Aims & Scope

The scope of the IEEE Transactions on Systems, Man, and Cybernetics: Systems includes the fields of systems engineering.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
C. L. Philip Chen
The University of Macau