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TOC Alert for Publication# 3516 2018March 15<![CDATA[Table of Contents]]>231C1C4154<![CDATA[IEEE/ASME Transactions on Mechatronics publication information]]>231C2C2120<![CDATA[Guest Editorial Focused Section on Health Monitoring, Management, and Control of Complex Mechatronic Systems]]>23114257<![CDATA[Sensor Reduction for Driver-Automation Shared Steering Control via an Adaptive Authority Allocation Strategy]]>2315162608<![CDATA[Robust Sensors-Fault-Tolerance With Sliding Mode Estimation and Control for PMSM Drives]]>23117282355<![CDATA[Active Control of Magnetic Field Using eDMP Model for Biomedical Applications]]>23129374373<![CDATA[Fault-Tolerant Control of Multiarea Power Systems via a Sliding-Mode Observer Technique]]>23138471056<![CDATA[Hierarchical Coordinated Control of Flywheel Energy Storage Matrix Systems for Wind Farms]]>23148561038<![CDATA[Continuous Fixed-Time Controller Design for Mechatronic Systems With Incomplete Measurements]]>$n$-dimensional chain of integrators to the origin for a finite pre-established (fixed) time using a scalar input when only the highest relative degree state can be measured. The uniform upper bound for the controller convergence time is calculated. Performance of the developed controller is demonstrated in two case studies, stabilizing an industrial armature-controlled dc motor (stable system) and controlling a cart inverted pendulum (unstable system).]]>23157671289<![CDATA[Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery]]>$alpha$ and $K$) in the existing variational mode decomposition. The proposed fault-detection framework separated the observed vibration signals into a series of intrinsic modes. A certain number of the intrinsic modes are then selected by means of the Hilbert transform-based square envelope spectral kurtosis. Subsequently, in this study, the feature representations were reconstructed via the selected intrinsic modes; then, the envelope spectra of the real faulty conditions were generated in the rotating machinery. To verify the performance of the proposed method, a testbed platform of a gearbox with a combination of different faults was implemented. The experimental results demonstrated that the proposed method represented the patterns of the fault frequency more explicitly than the available empirical mode decomposition, the local mean decomposition, and the wavelet package transform method.]]>23168791671<![CDATA[Integrated Design of Event-Triggered Closed-Loop Subspace Predictive Control Scheme]]>2318088825<![CDATA[Wind Turbine Fault Detection Using a Denoising Autoencoder With Temporal Information]]>231891001753<![CDATA[Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks]]>2311011101243<![CDATA[A General Tracking Control Framework for Uncertain Systems With Exponential Convergence Performance]]>2311111201939<![CDATA[Reinforcement Learning of Manipulation and Grasping Using Dynamical Movement Primitives for a Humanoidlike Mobile Manipulator]]>2311211311831<![CDATA[Position Tracking Control Law for an Electro-Hydraulic Servo System Based on Backstepping and Extended Differentiator]]>2311321401154<![CDATA[Remaining Useful Life Prediction for Multiple-Component Systems Based on a System-Level Performance Indicator]]>2311411501009<![CDATA[Deep Learning for Infrared Thermal Image Based Machine Health Monitoring]]>231151159929<![CDATA[Real-Time Triple Field of View Interferometry for Scan-Free Monitoring of Multiple Objects]]>231160166945<![CDATA[Condition Monitoring in Advanced Battery Management Systems: Moving Horizon Estimation Using a Reduced Electrochemical Model]]>2311671781353<![CDATA[Vibration Sensing of a Bridge Model Using a Multithread Active Vision System]]>2311791894168<![CDATA[Improved NO and NO2 Concentration Estimation for a Diesel-Engine-Aftertreatment System]]>${text{NO}}_x$) emission is one of the main issues for diesel engines. To reduce the $text {NO}_x$ emissions with an after-treatment system, the information of NO and NO_{2} concentrations plays an important role. In this paper, we investigate the NO and NO_{2} concentration estimation for a diesel-engine-after-treatment system with ${text{NO}}_x$ sensor measurements. The main objective is to estimate the NO and NO_{2} concentrations after diesel particulate filter (DPF) such that the selective catalytic reduction system can be benefited from the estimated concentrations. Since the diesel oxidation catalyst (DOC) is connected in series with DPF, the estimation work for DOC is also necessary. An empirical engine-out NO_{2}/${text{NO}}_x$ ratio model is adopted to predict the inputs of DOC. By considering the main chemical reactions inside DOC and DPF, the NO and NO_{2} concentration models are obtained. The nonlinear models are converted into linear-parameter-varying forms. Then, a gain-scheduling Luenburger observer is proposed for the DOC and DPF. A practical assumption in which the system modeling and sensor measurements are not perfectly precise is made. Therefore, the gain-scheduling Luenburger observer does not directly share the weighting factors of the original system. By defining the estimation error, an augmented compact system is obtained. Both the stability and the energy-to-peak performance are investigated for the compact system. Based on the derived conditions, the observer design approach is proposed. Experimental studies and comparisons are given to validate the results. Compared with an existing work-
the designed observer can improve the estimation performance significantly.]]>231190199950<![CDATA[A Plug-and-Play Monitoring and Control Architecture for Disturbance Compensation in Rolling Mills]]>2312002101764<![CDATA[Real-Time Remaining Useful Life Prediction for a Nonlinear Degrading System in Service: Application to Bearing Data]]>2312112221354<![CDATA[Geometric Estimation of the Deformation and the Design Method for Developing Helical Bundled-Tube Locomotive Devices]]>2312232321680<![CDATA[A Combined Matching Algorithm for Underwater Gravity-Aided Navigation]]>2312332411068<![CDATA[2-D Traveling Wave Driven Piezoelectric Plate Robot for Planar Motion]]>2312422511020<![CDATA[Constrained Orientation Control of a Spherical Parallel Manipulator via Online Convex Optimization]]>2312522611137<![CDATA[A Suction-Fixing, Stiffness-Tunable Liver Manipulator for Laparoscopic Surgeries]]>2312622731638<![CDATA[Design and Experimental Verification of Hip Exoskeleton With Balance Capacities for Walking Assistance]]>2312742851488<![CDATA[Model-Free Control for Continuum Robots Based on an Adaptive Kalman Filter]]>2312862971223<![CDATA[Analysis of Magnetic Interaction in Remotely Controlled Magnetic Devices and its Application to a Capsule Robot for Drug Delivery]]>2312983101230<![CDATA[Automated Tuning of Resonance Frequency in an RF Cavity Resonator]]>231311320984<![CDATA[System and Control Design of a Voice Coil Actuated Mechanically Decoupling Two-Body Vibration Isolation System]]>$_infty$-controller to actively control the position of the first body is designed and the damping in the system is revealed as an important design parameter to reduce the control effort around the decoupling frequency. It is demonstrated that with the derived controller, the first and the second body of the resulting prototype can simultaneously be controlled with bandwidths of 1.4 kHz and 180 Hz, respectively. When exposed to a disturbance profile with 12.4 $mu$m root mean square (rms) value in the laboratory environment, the remaining rms positioning errors for the actively and passively controlled subsystems are as small as 0.12 $mu$m and 0.81 $mu$m, respectively.]]>2313213301669<![CDATA[Adaptive Fault-Tolerant Attitude Tracking Control of Spacecraft With Prescribed Performance]]>a priori by the designer are adopted to impose desired performance metrics on the attitude tracking errors. Then, the original attitude tracking error dynamics with performance constraints is transformed into an equivalent “state-constrained” one whose robust stabilization is shown to be sufficient to solve the stated problem via a novel error transformation. Subsequently, based on the transformed system, an adaptive fault-tolerant controller is derived by incorporating backstepping control, the barrier Lyapunov function, and Nussbaum gains. It is proved that the designed controller is able to guarantee the satisfaction of the prespecified constraints on the transformed errors, as well as the boundedness of all other closed-loop signals, without resorting to a judicious selection of the control parameters. Finally, the effectiveness of the proposed control scheme is evaluated by means of simulation experiments carried out on a microsatellite.]]>231331341905<![CDATA[Fault-Tolerant Cooperative Tracking Control via Integral Sliding Mode Control Technique]]>2313423512733<![CDATA[An Apparatus to Measure Wheel–Soil Interactions on Sandy Terrains]]>2313523632038<![CDATA[Managing Thermally Derated Torque of an Electrified Powertrain Through LPV Control]]>2313643761639<![CDATA[Full Vehicle Combinatory Efficient Damping Controller: Experimental Implementation]]>semi-active suspension systems, referred to as Combinatory quasi-Optimum Damping (COD) controller. This strategy is entirely based on vehicle measurements, is multiobjective, of low computational load, and can be implemented in real time. The validation was performed on a scaled vehicle 1:5, fully instrumented and equipped with Electro-Rheological dampers. First, a frequency-domain analysis is provided from a chirp road. Then, a five bumps test is considered for time-domain validation. Compared with passive suspensions, sky-hook, and ground-hook controls, the given results prove that the COD controller allows an almost optimum distribution between comfort and road holding.]]>2313773881911<![CDATA[Hybrid Fuzzy Decoupling Control for a Precision Maglev Motion System]]>2313894011349<![CDATA[Constrained Trajectory Generation and Control for a 9-Axis Micromachining Center With Four Redundant Axes]]>2314024122075<![CDATA[Understanding Environment-Adaptive Force Control of Series Elastic Actuators]]>2314134232512<![CDATA[Design and Control of a Dual-Probe Atomic Force Microscope]]>2314244331679<![CDATA[Distributed LQR Consensus Control for Heterogeneous Multiagent Systems: Theory and Experiments]]>2314344431743<![CDATA[Development of a Nonresonant Piezoelectric Motor With Nanometer Resolution Driving Ability]]>$_{text{p-p}}$ , the prototype achieved a step displacement of 5.96 μm, a maximum no-load velocity of 59.64 μm/s, and a maximum thrust of 30 N. This paper provides a new mechanism for the design of a nonresonant piezoelectric motor with long stroke and precise driving ability.]]>2314444511492<![CDATA[Decaying Time Constant Enhanced MEMS Disk Resonator for High Precision Gyroscopic Application]]>2314524581099<![CDATA[A New Scroll-Type Air Motor With Magnetic Spirals]]>$2 times {10^5}$ Pa, with a flank leakage clearance reference of 0.06 mm.]]>2314594681302<![CDATA[Kinematic Accuracy Improvement of a Novel Smart Structure-Based Parallel Kinematic Machine]]>μm through error compensation. An experimental test was performed to verify the existence of nonlinear geometric errors in the actual PKM. A regional error identification and compensation method was proposed to reduce their effects on the result of the kinematic calibration. Finally, the smart structure chains were controlled to further improve the PKM's kinematic accuracy. The experimental results indicated that the smart structure-based PKM achieved micron-level positioning accuracy in its whole workspace by following the proposed kinematic accuracy impr-
vement process.]]>2314694811455<![CDATA[Sliding-Mode Control Composite With Disturbance Observer for Tracking Control of Mismatched Uncertain nDoF Nonlinear Systems]]>n-degree-of-freedom (nDoF) nonlinear systems. Perturbations of the control inputs together with the effects of the input saturation are also taken into account. In our scheme, there is no need to know the constant parameters of the input saturation function, as well as the bounds of the uncertain terms. To solve the tracking control problem of the uncertain nDoF nonlinear system, an adaptive nonsmooth sliding-mode controller is proposed. Rigorous mathematic stability analysis is performed to guarantee the correctness of the theoretical designs. The main contribution of this study is that a novel disturbance observer along with a new adaptive terminal sliding-mode control is introduced to assure that the effects of mismatched uncertainties, external disturbances, and control fluctuations with completely unknown parameters and bounds are successfully canceled without any steady-state errors. Simulation results and comparative studies on tracking control of two multi-input multi-output mechatronic systems demonstrate the suitable performance of the introduced adaptive composite controller.]]>231482490883<![CDATA[Dynamics-Based Motion Deblurring Improves the Performance of Optical Character Recognition During Fast Scanning of a Robotic Eye]]>2314914951178<![CDATA[Introducing IEEE Collabratec]]>231496496716<![CDATA[IEEE/ASME Transactions on Mechatronics information for authors]]>231C3C397