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IEEE Transactions on Control Systems Technology
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IEEE Transactions on Control Systems Technology Publication Information
Publication Year: 2022,Page(s):C2 - C2
IEEE Transactions on Control Systems Technology Publication Information
Year: 2022 | Volume: 30 | Issue: 6
Real-Time Torque Estimation of Automotive Powertrain With Dual-Clutch Transmissions
Publication Year: 2022,Page(s):2269 - 2284
Cited by: Papers (9)
This article proposes a nonlinear observer for estimating a powertrain transmitted torque of vehicles equipped with dual-clutch transmissions. A new dynamical model of vehicle driveline is presented. It introduces a single characteristic state based on the dynamic friction model to scale the clutch torque capacity, which is available from the actuator position-to-torque map. Based on this model, t...Show More
Incremental Model Predictive Control Exploiting Time-Delay Estimation for a Robot Manipulator
Yongchao Wang;Marion Leibold;Jinoh Lee;Wenyan Ye;Jing Xie;Martin Buss
Publication Year: 2022,Page(s):2285 - 2300
Cited by: Papers (12)
This article proposes a new incremental model predictive control (IMPC) strategy, which allows for constrained control of a robot manipulator, while the resulting incremental model is derived without a concrete mathematical system model. First, to reduce dependence on the nominal model of robot manipulators, the continuous-time nonlinear system model is approximated by an incremental system using ...Show More
An Active Perception Framework for Autonomous Underwater Vehicle Navigation Under Sensor Constraints
Publication Year: 2022,Page(s):2301 - 2316
Cited by: Papers (13)
Inertial navigation for autonomous underwater vehicles (AUVs) is challenging because of the drift error caused by the noise and measurement errors of inertial sensors, typically packaged as an inertial measurement unit (IMU), integrated over time. To mitigate the drift error, recent AUV state estimation approaches incorporate external references or environmental information obtained from exterocep...Show More
Two-Facet Scalable Cooperative Optimization of Multi-Agent Systems in the Networked Environment
Publication Year: 2022,Page(s):2317 - 2332
Cited by: Papers (12)
Cooperatively optimizing a vast number of agents over a large-scale network faces unprecedented scalability challenges. The scalability of existing optimization algorithms is limited by either the agent population size or the network dimension. As a radical improvement, this article, for the first time, constructs a two-facet scalable distributed optimization framework. This novel framework distri...Show More
A Time-Optimal Trajectory Planning Strategy for an Aircraft With a Suspended Payload via Optimization and Learning Approaches
Publication Year: 2022,Page(s):2333 - 2343
Cited by: Papers (10)
In this article, a real-time interactive time-optimal trajectory planning (TOTP) strategy is proposed for aircraft slung-load systems, in which the practical performance is guaranteed by taking advantage of convex optimization and reinforcement learning (RL) techniques. To the best of our knowledge, it is the first TOTP solution for an aircraft suspension system subject to path, velocity, accelera...Show More
Hierarchical Model Predictive Control for On-Line High-Speed Railway Delay Management and Train Control in a Dynamic Operations Environment
Yihui Wang;Songwei Zhu;Shukai Li;Lixing Yang;Bart De Schutter
Publication Year: 2022,Page(s):2344 - 2359
Cited by: Papers (20)
In practice, the operation of high-speed trains is often affected by adverse weather conditions or equipment failures, which result in delays and even cancellations of train services. In this article, a novel two-layer hierarchical model predictive control (MPC) model is proposed for on-line high-speed railway delay management and train control for minimizing train delays and cancellations. The up...Show More
Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems
Yehan Ma;Jianlin Guo;Yebin Wang;Ankush Chakrabarty;Heejin Ahn;Philip Orlik;Xinping Guan;Chenyang Lu
Publication Year: 2022,Page(s):2360 - 2376
Cited by: Papers (19)
Wireless networked control systems (WNCSs) have the potential to revolutionize industrial automation in smart factories. Optimizing closed-loop performance while maintaining stability is a fundamental challenge in WNCS due to limited bandwidth and nondeterministic link quality of wireless networks. In order to bridge the gap between network design and control system performance, we propose an opti...Show More
Energy-Optimal Control for Autonomous Underwater Vehicles Using Economic Model Predictive Control
Niankai Yang;Dongsik Chang;Matthew Johnson-Roberson;Jing Sun
Publication Year: 2022,Page(s):2377 - 2390
Cited by: Papers (25)
Improving endurance is important for autonomous underwater vehicles (AUVs) as it affects the operational cost and application range of the vehicle. In this article, we propose an economic model predictive control (EMPC)-based controller to reduce the control energy of AUVs while performing waypoint tracking. The proposed EMPC controller optimizes stage costs capturing the control energy consumed w...Show More
Enabling DER Participation in Frequency Regulation Markets
Publication Year: 2022,Page(s):2391 - 2405
Cited by: Papers (6)
Distributed energy resources (DERs) are playing an increasing role in ancillary services for the bulk grid, particularly in frequency regulation. In this article, we propose a framework for collections of DERs, combined to form microgrids and controlled by aggregators, to participate in frequency regulation markets. Our approach covers both the identification of bids for the market clearing stage ...Show More
Density-Based Stochastic Reachability Computation for Occupancy Prediction in Automated Driving
Publication Year: 2022,Page(s):2406 - 2419
Cited by: Papers (2)
We propose a stochastic reachability computation framework for occupancy prediction in automated driving by directly solving the underlying transport partial differential equation (PDE) governing the advection of the closed-loop joint density functions. The resulting nonparametric gridless computation is based on integration along the characteristic curves, and it allows online computation of the ...Show More
Multi-Module Decision Fusion in Operational Status Monitoring
Publication Year: 2022,Page(s):2420 - 2432
Cited by: Papers (4)
Multimodule and multisensor data with different characteristics can reflect the overall operating status of the equipment from different angles. It is far from enough to monitor the operating status of equipment from a single perspective for this fails to take all valid information into account. However, data integration may face problems such as the curse of dimensionality and scale mismatches. T...Show More
Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators
Bryan P. Maldonado;Brian C. Kaul;Catherine D. Schuman;Steven R. Young;J. Parker Mitchell
Publication Year: 2022,Page(s):2433 - 2449
Cited by: Papers (1)
Dilute combustion using exhaust gas recirculation (EGR) presents a cost-effective method for increasing the efficiency of spark-ignition (SI) engines. However, the maximum amount of EGR that can be used at a given condition is limited by a rapid increment of cycle-to-cycle variability (CCV). This study describes a methodology to design a model-based stochastic optimal controller to adjust the cycl...Show More
Design for Real-Time Nonlinear Model Predictive Control With Application to Collision Imminent Steering
Publication Year: 2022,Page(s):2450 - 2465
Cited by: Papers (4)
Model predictive control (MPC) is a competitive option in modern control systems due to its ability to account for future response and incorporation of complex control objectives. As applications become more intricate, nonlinearities limit the utility of linear control strategies, thus requiring more sophisticated architectures, often at a significant computational cost. This article investigates ...Show More
Control-Oriented Physics-Based Modeling and Observer Design for State-of-Charge Estimation of Lithium-Ion Cells for High Current Applications
Anirudh Nath;Rohit Mehta;Raghvendra Gupta;Supreet Singh Bahga;Amit Gupta;Shubhendu Bhasin
Publication Year: 2022,Page(s):2466 - 2479
Cited by: Papers (7)
This article proposes a physics-based control-oriented model and observer design for the state-of-charge (SoC) estimation of lithium-ion cells for applications involving high magnitude fluctuating current profiles. The physics-based single-particle model (SPM) provides enhanced accuracy due to the inclusion of electrolyte dynamics and addresses the issue of nonobservability associated with it. The...Show More
Decentralized Electromagnetic Formation Flight Using Alternating Magnetic Field Forces
Publication Year: 2022,Page(s):2480 - 2489
Cited by: Papers (1)
This article presents a decentralized formation control strategy for electromagnetic formation flight (EMFF). A primary control challenge of EMFF is the coupling that occurs between the electromagnetic fields generated by all satellites. Alternating magnetic field forces (AMFF) are used to address these coupling challenges. Each satellite’s electromagnetic actuation system is driven by a sum of am...Show More
Optimal Secondary Frequency Regulation With ON-OFF Loads in Power Networks
Publication Year: 2022,Page(s):2490 - 2505
Cited by: Papers (5)
Load-side participation can provide support to the power network by appropriately adapting the demand when required. In addition, it enables an economically improved power allocation. In this study, we consider the problem of providing an optimal power allocation among generation and ON-OFF loads within the secondary frequency control timeframe. In particular, we consider a mixed-integer optimizat...Show More
Delay-Adaptive Control of a 7-DOF Robot Manipulator: Design and Experiments
Publication Year: 2022,Page(s):2506 - 2521
Cited by: Papers (15)
We present an analytical design and experimental verification of trajectory-tracking control of a 7-DOF robot manipulator with an unknown long actuator delay. To compensate for this unknown delay, we formulate a delay-adaptive prediction-based control strategy to simultaneously estimate the unknown delay while driving the robot manipulator toward the desired trajectory. To the best of the authors’...Show More
Scenario Model Predictive Control for Data-Based Energy Management in Plug-In Hybrid Electric Vehicles
Publication Year: 2022,Page(s):2522 - 2533
Cited by: Papers (11)
One of the major limitations of optimization-based strategies for allocating the power flow in hybrid powertrains is that they rely on predictions of future power demand. These predictions are inherently uncertain as they are dependent on complex human behaviors that are challenging to model accurately. This article proposes a data-based scenario model predictive control (MPC) framework, where the...Show More
Social Profit Optimization With Demand Response Management in Electricity Market: A Multi-Timescale Leader-Following Approach
Publication Year: 2022,Page(s):2534 - 2546
Cited by: Papers (3)
In the electricity market, it is quite common that the market participants make “selfish” strategies to harvest the maximum profits for themselves, which may cause the social benefit loss and impair the sustainability of the market in the long term. Regarding this issue, we will study how the social profit can be improved through strategic demand response management. Specifically, we explore two i...Show More
A Discrete-Event System Approach for Modeling and Mitigating Power System Cascading Failures
Publication Year: 2022,Page(s):2547 - 2560
Cited by: Papers (5)
A power system cascading failure can propagate through sequential tripping of components in the network. As a result, a complete or partial shutdown may occur. In this article, we develop a new systematic approach to identify and prevent cascading failures in power systems using supervisory control of discrete-event systems (DESs). We build the DES model for a power system in a modular fashion by ...Show More
Distributed Secondary Control for Voltage Regulation and Optimal Power Sharing in DC Microgrids
Publication Year: 2022,Page(s):2561 - 2572
Cited by: Papers (47)
In this article, a novel distributed secondary control scheme is proposed to solve the voltage regulation and power sharing problems of an islanded direct current (DC) microgrid. It not only eliminates the voltage deviation caused by droop control but also minimizes the total generation cost of the DC microgrid. The proposed secondary control of distributed generators (DGs) does not require global...Show More
Dynamic Probabilistic Predictable Feature Analysis for Multivariate Temporal Process Monitoring
Publication Year: 2022,Page(s):2573 - 2584
Cited by: Papers (17)
Dynamic statistical process monitoring methods have been widely studied and applied in modern industrial processes. These methods aim to extract the most predictable temporal information and develop the corresponding dynamic monitoring schemes. However, measurement noise is widespread in real-world industrial processes, and ignoring its effect will lead to suboptimal modeling and monitoring perfor...Show More
A Control Theoretical Adaptive Human Pilot Model: Theory and Experimental Validation
Publication Year: 2022,Page(s):2585 - 2597
Cited by: Papers (7)
This article proposes an adaptive human pilot model that is able to mimic the crossover model in the presence of uncertainties. The proposed structure is based on the model reference adaptive control, and the adaptive laws are obtained using the Lyapunov–Krasovskii stability criteria. The model can be employed for human-in-the-loop stability and performance analyses incorporating different types o...Show More
Contact Information
Editor-in-Chief
Pierre T. Kabamba Collegiate Professor of Aerospace Engineering
The University of Michigan, Department of Aerospace Engineering
Ann Arbor
USA
eic-ieeetcst@umich.eduContact Information
Editor-in-Chief
Pierre T. Kabamba Collegiate Professor of Aerospace Engineering
The University of Michigan, Department of Aerospace Engineering
Ann Arbor
USA
eic-ieeetcst@umich.eduIEEE Account
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