Annual Reviews in Control

Papers
(The TQCC of Annual Reviews in Control is 24. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
The data-driven approach to classical control theory133
Contamination event diagnosis in drinking water networks: A review133
Linear quantum systems: A tutorial125
A real-time interactive decision-making and control framework for complex cyber-physical-human systems104
A comprehensive review of models and nonlinear control strategies for blood glucose regulation in artificial pancreas93
Smith predictor based control of multi time-delay processes90
Applications of metaheuristic optimization algorithms in model predictive control for chemical engineering processes: A systematic review87
Safe-by-design planner–tracker synthesis with a hierarchy of system models83
Adaptive conductance control83
Control-theoretic modeling of multi-species water quality dynamics in drinking water networks: Survey, methods, and test cases78
A review on VSC-HVDC control schemes75
Cognitive systems and interoperability in the enterprise: A systematic literature review73
A survey on tracking control of unmanned underwater vehicles: Experiments-based approach70
Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control61
Model Predictive Control of water resources systems: A review and research agenda58
A critical review of cyber-physical security for building automation systems57
Quantum covariance and filtering54
State estimation of the Stefan PDE: A tutorial on design and applications to polar ice and batteries52
A review of physics-based learning for system health management52
Learning safe control for multi-robot systems: Methods, verification, and open challenges48
Probabilistic feasibility in data-driven multi-agent non-convex optimization45
Editorial Board45
Ergodic risk-sensitive control—A survey43
Adaptive control and reinforcement learning for vehicle suspension control: A review42
Safety-critical control for autonomous systems: Control barrier functions via reduced-order models42
Behavioral theory for stochastic systems? A data-driven journey from Willems to Wiener and back again41
Reinforcement Learning for feedback-enabled cyber resilience40
Closed-form and robust expressions for data-driven LQ control37
Special section on estimation and control of quantum systems36
A brief survey on encrypted control: From the first to the second generation and beyond35
Learning and forgetting in systems neuroscience: A control perspective35
Predictive and robust control strategies applied to ground antenna systems35
Editorial Board32
Lateral control for autonomous vehicles: A comparative evaluation32
The optimization landscape of hybrid quantum–classical algorithms: From quantum control to NISQ applications32
Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems31
Quantum estimation, control and learning: Opportunities and challenges30
Virtual control strategy and conditioning technique for tracking and learning controls under input restrictions28
Value-gradient iteration with quadratic approximate value functions28
Addendum: Predictive form of the FPM model27
Control of cooperative manipulator-endowed systems under high-level tasks and uncertain dynamics25
Parametrizations of all stable closed-loop responses: From theory to neural network control design25
A unified framework for exponential stability analysis of irrational transfer functions in the parametric space25
Distributed design of ultra large-scale control systems: Progress, Challenges, and Prospects24
Review of floating object manipulation by autonomous multi-vessel systems24
Nonparametric adaptive control in native spaces: Finite-dimensional implementations, Part II24
Control education for societal-scale challenges: A community roadmap24
Shaping the future of advanced automation and control systems for society strategic directions and multidisciplinary collaborations of IFAC's social systems coordinating committee24
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