Annual Reviews in Control

Papers
(The TQCC of Annual Reviews in Control is 27. 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 2021-12-01 to 2025-12-01.)
ArticleCitations
The data-driven approach to classical control theory164
A real-time interactive decision-making and control framework for complex cyber-physical-human systems153
Contamination event diagnosis in drinking water networks: A review144
Linear quantum systems: A tutorial127
A comprehensive review of models and nonlinear control strategies for blood glucose regulation in artificial pancreas110
A review on VSC-HVDC control schemes101
Safe-by-design planner–tracker synthesis with a hierarchy of system models99
Applications of metaheuristic optimization algorithms in model predictive control for chemical engineering processes: A systematic review97
Control-theoretic modeling of multi-species water quality dynamics in drinking water networks: Survey, methods, and test cases96
Smith predictor based control of multi time-delay processes90
Human-like learning in car following: An attention-based driving strategy with memory-inspired adaptation87
Adaptive conductance control81
Cognitive systems and interoperability in the enterprise: A systematic literature review76
Observer-based error correction in finite memory approaches for pseudo state estimation of fractional dynamic models71
A survey on tracking control of unmanned underwater vehicles: Experiments-based approach68
A critical review of cyber-physical security for building automation systems66
Model Predictive Control of water resources systems: A review and research agenda63
Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control62
Quantum covariance and filtering58
A review of physics-based learning for system health management58
Special section on fractional differentiation and its applications: Automatic control56
Learning safe control for multi-robot systems: Methods, verification, and open challenges55
State estimation of the Stefan PDE: A tutorial on design and applications to polar ice and batteries55
Editorial Board52
Probabilistic feasibility in data-driven multi-agent non-convex optimization50
Reinforcement Learning for feedback-enabled cyber resilience48
Behavioral theory for stochastic systems? A data-driven journey from Willems to Wiener and back again48
Adaptive control and reinforcement learning for vehicle suspension control: A review46
Safety-critical control for autonomous systems: Control barrier functions via reduced-order models45
Ergodic risk-sensitive control—A survey45
Learning and forgetting in systems neuroscience: A control perspective44
Special section on estimation and control of quantum systems44
Closed-form and robust expressions for data-driven LQ control44
Time-domain system identification using fractional models from non-zero initial conditions applied to Li-ion Batteries41
Predictive and robust control strategies applied to ground antenna systems41
A brief survey on encrypted control: From the first to the second generation and beyond38
The optimization landscape of hybrid quantum–classical algorithms: From quantum control to NISQ applications37
Lateral control for autonomous vehicles: A comparative evaluation34
Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems33
Editorial Board33
Quantum estimation, control and learning: Opportunities and challenges32
Virtual control strategy and conditioning technique for tracking and learning controls under input restrictions32
Parametrizations of all stable closed-loop responses: From theory to neural network control design32
Addendum: Predictive form of the FPM model31
Value-gradient iteration with quadratic approximate value functions31
A unified framework for exponential stability analysis of irrational transfer functions in the parametric space30
Control of cooperative manipulator-endowed systems under high-level tasks and uncertain dynamics30
Distributed design of ultra large-scale control systems: Progress, Challenges, and Prospects27
Learning against uncertainty in control engineering27
Shaping the future of advanced automation and control systems for society strategic directions and multidisciplinary collaborations of IFAC's social systems coordinating committee27
Nonparametric adaptive control in native spaces: Finite-dimensional implementations, Part II27
A frequency domain approach to Kalman filtering on Hilbert spaces: Application to Sturm–Liouville systems with pointwise measurement27
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