Annual Reviews in Control

Papers
(The TQCC of Annual Reviews in Control is 28. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
A real-time interactive decision-making and control framework for complex cyber-physical-human systems210
Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights172
Contamination event diagnosis in drinking water networks: A review167
The data-driven approach to classical control theory146
A comprehensive review of models and nonlinear control strategies for blood glucose regulation in artificial pancreas135
Applications of metaheuristic optimization algorithms in model predictive control for chemical engineering processes: A systematic review117
Smith predictor based control of multi time-delay processes103
Control-theoretic modeling of multi-species water quality dynamics in drinking water networks: Survey, methods, and test cases85
A review on VSC-HVDC control schemes85
Human-like learning in car following: An attention-based driving strategy with memory-inspired adaptation77
Observer-based error correction in finite memory approaches for pseudo state estimation of fractional dynamic models70
Cognitive systems and interoperability in the enterprise: A systematic literature review68
Probabilistic prediction methods for nonlinear systems with application to stochastic model predictive control67
Trajectory tracking control for autonomous vehicles: A systematic PRISMA review of models and strategies65
Model Predictive Control via Probabilistic Inference: A tutorial and survey65
Model Predictive Control of water resources systems: A review and research agenda64
A critical review of cyber-physical security for building automation systems60
A review of physics-based learning for system health management59
Bearing-based multi-agent formation control: A survey and taxonomy58
Special section on fractional differentiation and its applications: Automatic control56
Learning safe control for multi-robot systems: Methods, verification, and open challenges56
Probabilistic feasibility in data-driven multi-agent non-convex optimization55
Editorial Board55
Adaptive control and reinforcement learning for vehicle suspension control: A review46
Ergodic risk-sensitive control—A survey43
Behavioral theory for stochastic systems? A data-driven journey from Willems to Wiener and back again41
Safety-critical control for autonomous systems: Control barrier functions via reduced-order models41
Time-domain system identification using fractional models from non-zero initial conditions applied to Li-ion Batteries40
Predictive and robust control strategies applied to ground antenna systems38
Learning and forgetting in systems neuroscience: A control perspective36
Lateral control for autonomous vehicles: A comparative evaluation36
Closed-form and robust expressions for data-driven LQ control33
Editorial Board33
A brief survey on encrypted control: From the first to the second generation and beyond33
Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems32
Addendum: Predictive form of the FPM model31
Value-gradient iteration with quadratic approximate value functions31
Parametrizations of all stable closed-loop responses: From theory to neural network control design30
Data-driven integration of wheel force sensing and yaw stability control in distributed drive electric vehicle: A review and perspective28
Distributed design of ultra large-scale control systems: Progress, Challenges, and Prospects28
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