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View article: Environment Modeling for Service Robots from a Task Execution Perspective
Environment Modeling for Service Robots from a Task Execution Perspective Open
Service robots are increasingly entering the home to provide domestic tasks for residents. However, when working in an open, dynamic, and unstructured home environment, service robots still face challenges such as low intelligence for task…
View article: Adaptive Order-Reduction Output-Feedback System for DC–DC Power Converters Using Feedback-Loop Intelligentification
Adaptive Order-Reduction Output-Feedback System for DC–DC Power Converters Using Feedback-Loop Intelligentification Open
The suggested multiloop output-feedback system for dc/dc power converters deals with changes in parameters and loads, as well as performance issues, by using advanced methods like constrained feedback-loop intelligentification and pole-zer…
View article: Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review
Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Review Open
With the wide application of computer vision in agriculture, image analysis has become the key to tasks such as crop health monitoring and pest detection. However, the significant domain shifts caused by environmental changes, different cr…
View article: Nonlinear Cooperative Output Regulation With Input Delay Compensation
Nonlinear Cooperative Output Regulation With Input Delay Compensation Open
This paper investigates the cooperative output regulation (COR) of nonlinear multi-agent systems (MASs) with long input delay based on periodic event-triggered mechanism. Compared with other mechanisms, periodic event-triggered control can…
View article: Intermittent event‐triggered control for input‐to‐state stability of stochastic systems
Intermittent event‐triggered control for input‐to‐state stability of stochastic systems Open
In this article, we investigate the input‐to‐state stability (ISS) of stochastic systems via intermittent event‐triggered control. The control update sequence during the control intervals is determined through an event‐triggered mechanism …
View article: Distributed observer‐based containment control for unknown time‐varying P‐normal nonlinear multiagent systems
Distributed observer‐based containment control for unknown time‐varying P‐normal nonlinear multiagent systems Open
This work investigates the containment control for unknown time‐varying p‐normal (TVP) nonlinear multiagent systems (MASs) under directed topology. First, by innovatively constructing the dynamic update law in the distributed observer desi…
View article: Additional Cover
Additional Cover Open
The back cover image is based on the Research Article Observer-based neural adaptive fi xed-time tracking control for multi-input multi-output nonlinear systems with actuator faults by Xiaona Song et al., https://doi.org/10.1002/rnc.6727.
View article: Current sensorless position-tracking control with angular acceleration error observers for hybrid-type stepping motors
Current sensorless position-tracking control with angular acceleration error observers for hybrid-type stepping motors Open
This paper exhibits an advanced observer-based position-tracking controller for hybrid-type stepping motors with consideration of parameter and load uncertainties. As the main contribution, a current sensorless observer-based pole-zero can…
View article: Featured Cover
Featured Cover Open
The cover image is based on the Research Article Constrained fast fi nite-time exact tracking for disturbed nonlinear systems by Xiang Chen et al., https://doi.org/10.1002/rnc.6037.
View article: Distributed Frobenius-Norm Finite Memory Interacting Multiple Model Estimation for Mobile Robot Localization
Distributed Frobenius-Norm Finite Memory Interacting Multiple Model Estimation for Mobile Robot Localization Open
This paper proposes a novel state estimation algorithm, called the distributed Frobenius-norm finite memory interacting multiple model (DFFM-IMM) estimation algorithm, for mobile robot localization in wireless sensor networks (WSNs). The p…
View article: Distributed Finite Memory Estimation From Relative Measurements for Multiple-Robot Localization in Wireless Sensor Networks
Distributed Finite Memory Estimation From Relative Measurements for Multiple-Robot Localization in Wireless Sensor Networks Open
Mobile robot localizations have been extensively studied, and various algorithms for multiple-robot localization have been developed. However, existing methods for multiple-robot localization often exhibit poor performance under harsh cond…
View article: Combined Particle/FIR Filtering for Indoor Localization Based on Wireless Sensor Networks
Combined Particle/FIR Filtering for Indoor Localization Based on Wireless Sensor Networks Open
In this paper, we propose a new nonlinear f ltering algorithm that can provide more accurate and reliable localization compared with the pure particle f ltering (PF). In the proposed algorithm, failures of the PF are detected, and the fail…
View article: Adaptive Fuzzy Control for Fractional-Order Interconnected Systems With Unknown Control Directions
Adaptive Fuzzy Control for Fractional-Order Interconnected Systems With Unknown Control Directions Open
This paper concentrates on the study of the decentralized fuzzy control\nmethod for a class of fractional-order interconnected systems with unknown\ncontrol directions. To overcome the difficulties caused by the multiple unknown\ncontrol d…
View article: Sensorless non‐linear position‐stabilising control for magnetic levitation systems
Sensorless non‐linear position‐stabilising control for magnetic levitation systems Open
This study presents a solution to the position stabilisation problem for non‐linear magnetic levitation systems using the only position measurement. This considers parameter and load variations without the use of current and velocity feedb…
View article: Two-Layer Nonlinear FIR Filter and Unscented Kalman Filter Fusion With Application to Mobile Robot Localization
Two-Layer Nonlinear FIR Filter and Unscented Kalman Filter Fusion With Application to Mobile Robot Localization Open
In this paper, we propose a new state estimator called the two-layer nonlinear finite impulse response (TLNF) filter and adopt this new filter and unscented Kalman filter (UKF) as subfilters to create the fusion TLNF/UK filter. The TLNF fi…
View article: Correction to: Cooperative disturbance rejection control of vibrating flexible riser systems
Correction to: Cooperative disturbance rejection control of vibrating flexible riser systems Open
View article: Kalman and UFIR state estimation with coloured measurement noise using backward Euler method
Kalman and UFIR state estimation with coloured measurement noise using backward Euler method Open
Under coloured noise, known modifications of the Kalman filter (KF) exist only for discrete‐time state‐space models produced by the forward Euler (FE) method, which fits with feedback control. In this study, the authors modify the KF and u…
View article: New double integral inequality with application to stability analysis for linear retarded systems
New double integral inequality with application to stability analysis for linear retarded systems Open
This paper presents the development of a new double integral inequality (II) with the motivation of yielding quadratic approximation. It is well known that approximating integral quadratic terms with quadratic terms involves a certain degr…
View article: Editorial: Booming of Neural Networks and Learning Systems
Editorial: Booming of Neural Networks and Learning Systems Open
As you open this January issue of the IEEE Transactions on Neural Networks and Learning Systems (TNNLS), I hope everyone enjoyed a great holiday season and is excited for the new year of 2019. I am very delighted and honored to report seve…
View article: Modeling, optimization, and control for complex networked systems
Modeling, optimization, and control for complex networked systems Open
HAPI is a tool providing a possibility to work with spectroscopic data in HITRAN format. It gives fast and easy access to HITRANonline data. In addition, HAPI provides flexible fu…
View article: Novel vehicle detection system based on stacked DoG kernel and AdaBoost
Novel vehicle detection system based on stacked DoG kernel and AdaBoost Open
This paper proposes a novel vehicle detection system that can overcome some limitations of typical vehicle detection systems using AdaBoost-based methods. The performance of the AdaBoost-based vehicle detection system is dependent on its t…
View article: Finite Memory Output Feedback Control for Unmanned Aerial Vehicle
Finite Memory Output Feedback Control for Unmanned Aerial Vehicle Open
In this paper, we propose a novel control strategy, a finite memory output feedback control (FMOFC), for an unmanned aerial vehicle (UAV). The proposed control strategy is designed with the estimated states obtained by stacking a finite N …
View article: Observer and Stochastic Faulty Actuator-Based Reliable Consensus Protocol for Multiagent System
Observer and Stochastic Faulty Actuator-Based Reliable Consensus Protocol for Multiagent System Open
A nondeterministic actuator fault model-based reliable control design method is presented for the leader-following consensus of a multiagent system (MAS) subject to input time-varying delay and the nonlinear phenomenon through the observer…
View article: Filtering of Discrete-Time Switched Neural Networks Ensuring Exponential Dissipative and $l_{2}$ – $l_{\infty }$ Performances
Filtering of Discrete-Time Switched Neural Networks Ensuring Exponential Dissipative and $l_{2}$ – $l_{\infty }$ Performances Open
This paper studies delay-dependent exponential dissipative and l2 - l∞ filtering problems for discrete-time switched neural networks (DSNNs) including time-delayed states. By introducing a novel discrete-time inequali…
View article: Stochastic H∞ filtering for neural networks with leakage delay and mixed time-varying delays
Stochastic H∞ filtering for neural networks with leakage delay and mixed time-varying delays Open
View article: Indoor Localization Using Unscented Kalman/FIR Hybrid Filter
Indoor Localization Using Unscented Kalman/FIR Hybrid Filter Open
This paper proposes a new nonlinear filtering algorithm that combines the unscented Kalman filter (UKF) and the finite impulse response (FIR) filter. The proposed filter is called the unscented Kalman/FIR hybrid filter (UKFHF). In the UKFH…
View article: IOSS Control for A Class of Switched Hopfield Neural Networks with Disturbance Input
IOSS Control for A Class of Switched Hopfield Neural Networks with Disturbance Input Open
This paper is concerned with the input-output-to-state stable (IOSS) controller design for switched Hopfield neural networks with disturbance input.We propose a new set of linear matrix inequality (LMI) conditions to ascertain that switche…
View article: AC Scheduling Based on Thermodynamics of Indoor for On-Campus Small Data
AC Scheduling Based on Thermodynamics of Indoor for On-Campus Small Data Open
This paper proposes a new day-ahead control scheme of an air conditioning (AC) based on thermodynamic model of indoor-temperature.The thermodynamic model of indoor-temperature can be achieved by modified first-order thermal dynamic equatio…