ISSN: 1063-6536
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IEEE Transactions on Control Systems Technology Q1 Unclaimed
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 191. It has an SJR impact factor of 2,193 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 2,193.
IEEE Transactions on Control Systems Technology focuses its scope in these topics and keywords: control, problems, printers, power, positioning, nonlinear, motorgear, modulation, modelsrandomized, randles, ...
Type: Journal
Type of Copyright:
Languages: English
Open Access Policy:
Type of publications:
Publication frecuency: -
- €
Inmediate OANPD
Embargoed OA- €
Non OAMetrics
2,193
SJR Impact factor191
H Index275
Total Docs (Last Year)684
Total Docs (3 years)9528
Total Refs4098
Total Cites (3 years)683
Citable Docs (3 years)5.76
Cites/Doc (2 years)34.65
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Aims and Scope
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
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