Annual Reviews in Control

Papers
(The H4-Index of Annual Reviews in Control is 30. 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
Cognitive systems and interoperability in the enterprise: A systematic literature review62
Model Predictive Control of water resources systems: A review and research agenda62
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
Probabilistic feasibility in data-driven multi-agent non-convex optimization40
Ergodic risk-sensitive control—A survey40
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
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