Annual Reviews in Control

Papers
(The TQCC of Annual Reviews in Control is 22. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
A real-time interactive decision-making and control framework for complex cyber-physical-human systems118
The data-driven approach to classical control theory114
Linear quantum systems: A tutorial104
A comprehensive review of models and nonlinear control strategies for blood glucose regulation in artificial pancreas85
Contamination event diagnosis in drinking water networks: A review80
Safe-by-design planner–tracker synthesis with a hierarchy of system models76
Adaptive conductance control75
Applications of metaheuristic optimization algorithms in model predictive control for chemical engineering processes: A systematic review73
A review on VSC-HVDC control schemes67
Control-theoretic modeling of multi-species water quality dynamics in drinking water networks: Survey, methods, and test cases66
Model Predictive Control of water resources systems: A review and research agenda62
Cognitive systems and interoperability in the enterprise: A systematic literature review62
A critical review of cyber-physical security for building automation systems60
Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control49
A survey on tracking control of unmanned underwater vehicles: Experiments-based approach48
A review of physics-based learning for system health management46
Quantum covariance and filtering46
State estimation of the Stefan PDE: A tutorial on design and applications to polar ice and batteries45
Learning safe control for multi-robot systems: Methods, verification, and open challenges44
Editorial Board41
Ergodic risk-sensitive control—A survey40
Probabilistic feasibility in data-driven multi-agent non-convex optimization40
Adaptive control and reinforcement learning for vehicle suspension control: A review37
Safety-critical control for autonomous systems: Control barrier functions via reduced-order models36
Behavioral theory for stochastic systems? A data-driven journey from Willems to Wiener and back again33
Reinforcement Learning for feedback-enabled cyber resilience33
Closed-form and robust expressions for data-driven LQ control32
Learning and forgetting in systems neuroscience: A control perspective31
A brief survey on encrypted control: From the first to the second generation and beyond30
The optimization landscape of hybrid quantum–classical algorithms: From quantum control to NISQ applications30
Lateral control for autonomous vehicles: A comparative evaluation28
Special section on estimation and control of quantum systems27
Quantum estimation, control and learning: Opportunities and challenges26
Editorial Board26
Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems26
Virtual control strategy and conditioning technique for tracking and learning controls under input restrictions25
Value-gradient iteration with quadratic approximate value functions25
A unified framework for exponential stability analysis of irrational transfer functions in the parametric space24
Control of cooperative manipulator-endowed systems under high-level tasks and uncertain dynamics24
Addendum: Predictive form of the FPM model24
Shaping the future of advanced automation and control systems for society strategic directions and multidisciplinary collaborations of IFAC's social systems coordinating committee22
Distributed design of ultra large-scale control systems: Progress, Challenges, and Prospects22
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