Annual Reviews in Control

Papers
(The TQCC of Annual Reviews in Control is 13. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins101
Behavioral systems theory in data-driven analysis, signal processing, and control100
Robust and optimal predictive control of the COVID-19 outbreak88
Preview-based techniques for vehicle suspension control: a state-of-the-art review65
The dilemma of PID tuning57
Observer design for continuous-time dynamical systems53
Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives52
Sampled-data control systems with non-uniform sampling: A survey of methods and trends46
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems45
From sensing to control of lower limb exoskeleton: a systematic review44
A historical perspective of adaptive control and learning44
Advances in trajectory optimization for space vehicle control43
Structural identifiability and observability of compartmental models of the COVID-19 pandemic43
On an interval prediction of COVID-19 development based on a SEIR epidemic model41
Koopman operator dynamical models: Learning, analysis and control41
Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview40
Latent variable models in the era of industrial big data: Extension and beyond39
Quantum estimation, control and learning: Opportunities and challenges36
Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy36
An overview on optimal flocking34
Reinforcement learning for batch process control: Review and perspectives32
A survey on clustering methods for distributed and networked control systems29
Reinforcement Learning for feedback-enabled cyber resilience28
Data-driven methods for present and future pandemics: Monitoring, modelling and managing28
Modeling and control in open-channel irrigation systems: A review28
An overview on multi-agent consensus under adversarial attacks25
Interoperability in the cyber-physical manufacturing enterprise25
Universal features of epidemic models under social distancing guidelines25
Secure-by-construction synthesis of cyber-physical systems24
A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems23
Mixed-integer programming in motion planning23
Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants23
Integrated chassis control: Classification, analysis and future trends23
A survey on tracking control of unmanned underwater vehicles: Experiments-based approach22
Monitoring on a shoestring: Low cost solutions for digital manufacturing22
A comprehensive review of hyperspectral data fusion with lidar and sar data22
A review of current state-of-the-art control methods for lower-limb powered prostheses21
Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges20
Neural network-based flight control systems: Present and future20
Model predictive path tracking control for automated road vehicles: A review20
Forecasting COVID-19 cases based on a parameter-varying stochastic SIR model20
Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization17
Crowd management COVID-1917
A Critical Review on Control Strategies for Structural Vibration Control17
Learning quadrotor dynamics for precise, safe, and agile flight control16
The scenario approach: A tool at the service of data-driven decision making16
Industrial digital ecosystems: Predictive models and architecture development issues16
Cyber-security in networked and distributed model predictive control15
PID control of quadrotor UAVs: A survey14
Towards smart production planning and control; a conceptual framework linking planning environment characteristics with the need for smart production planning and control14
Composite adaptation and learning for robot control: A survey14
Linear quantum systems: A tutorial13
Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach13
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