IEEE Transactions on Control Systems Technology
IEEE Transactions on Control Systems Technology is a journal indexed in SJR in Electrical and Electronic Engineering and Control and Systems Engineering with an H index of 198. It has a COP Index of 5,7 (best band Q1). It is published in English. It has a COP Index of 5,7.
IEEE Transactions on Control Systems Technology focuses its scope in these topics and keywords: control, hydraulic, motorgear, framework, problems, printers, artifact, randles, circuit, models, ...
43 of 223 journals in Control and Systems Engineering
Metrics
Scimago and CountryOfPapers database fields
COP Index
5,7
Q1
SJR Impact
1,678
H-index
198
Docs (year)
229
Docs 3y
682
Total refs
9023
Cites 3y
4243
Citable 3y
681
Cites/Doc 2y
5.45
Ref/Doc
39.4
Immediate OA
—
Embargoed OA
NPD
Non OA / Submission
—
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Researcher reviews
Best articles by citations
A control engineer's guide to sliding mode control
A Survey of Fault Detection, Isolation, and Reconfiguration Methods
Predictive Active Steering Control for Autonomous Vehicle Systems
Fast Model Predictive Control Using Online Optimization
A Survey of Control Issues in Nanopositioning
A coordination architecture for spacecraft formation control
The quadruple-tank process: a multivariable laboratory process with an adjustable zero
Decentralized Charging Control of Large Populations of Plug-in Electric Vehicles
Time-Varying Formation Control for Unmanned Aerial Vehicles: Theories and Applications
Real-Time Motion Planning With Applications to Autonomous Urban Driving
Optimal Control of Parallel Hybrid Electric Vehicles
Advanced gain-scheduling techniques for uncertain systems
Distributed MPC Strategies With Application to Power System Automatic Generation Control
A Model Predictive Control Approach to Microgrid Operation Optimization
Optimal Control of Hybrid Electric Vehicles Based on Pontryagin's Minimum Principle
565 Citations View moreWMR control via dynamic feedback linearization: design, implementation, and experimental validation
MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle
Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time