OOIR: Observatory of International Research

Papers

(The TQCC of Annual Reviews in Control is 20. 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 2020-10-01 to 2024-10-01.)

Article	Citations
Behavioral systems theory in data-driven analysis, signal processing, and control	135
A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins	125
Robust and optimal predictive control of the COVID-19 outbreak	95
Observer design for continuous-time dynamical systems	87
Sampled-data control systems with non-uniform sampling: A survey of methods and trends	83
Preview-based techniques for vehicle suspension control: a state-of-the-art review	82
The dilemma of PID tuning	82
Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives	69
Koopman operator dynamical models: Learning, analysis and control	69
Advances in trajectory optimization for space vehicle control	67
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems	64
A historical perspective of adaptive control and learning	59
From sensing to control of lower limb exoskeleton: a systematic review	59
Quantum estimation, control and learning: Opportunities and challenges	54
Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview	53
Latent variable models in the era of industrial big data: Extension and beyond	51
Structural identifiability and observability of compartmental models of the COVID-19 pandemic	51
On an interval prediction of COVID-19 development based on a SEIR epidemic model	50
An overview on optimal flocking	46
An overview on multi-agent consensus under adversarial attacks	45
Control co-design of 13 MW downwind two-bladed rotors to achieve 25% reduction in levelized cost of wind energy	45
Model predictive path tracking control for automated road vehicles: A review	42
Reinforcement Learning for feedback-enabled cyber resilience	40
A review of current state-of-the-art control methods for lower-limb powered prostheses	39
Reinforcement learning for batch process control: Review and perspectives	39

PID control of quadrotor UAVs: A survey	37
A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems	35
Data-driven methods for present and future pandemics: Monitoring, modelling and managing	34
A survey on clustering methods for distributed and networked control systems	33
State of art on state estimation: Kalman filter driven by machine learning	33
Mixed-integer programming in motion planning	32
Neural network-based flight control systems: Present and future	32
Hybrid-augmented intelligence in predictive maintenance with digital intelligent assistants	31
Modeling and control in open-channel irrigation systems: A review	31
Empowering wave energy with control technology: Possibilities and pitfalls	30
Secure-by-construction synthesis of cyber-physical systems	30
Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges	29
A Critical Review on Control Strategies for Structural Vibration Control	29
Learning quadrotor dynamics for precise, safe, and agile flight control	29
Integrated chassis control: Classification, analysis and future trends	29
The scenario approach: A tool at the service of data-driven decision making	29
A survey on tracking control of unmanned underwater vehicles: Experiments-based approach	28
A comprehensive review of hyperspectral data fusion with lidar and sar data	27
Interoperability in the cyber-physical manufacturing enterprise	25
Universal features of epidemic models under social distancing guidelines	24
Monitoring on a shoestring: Low cost solutions for digital manufacturing	24
Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea	24
Forecasting COVID-19 cases based on a parameter-varying stochastic SIR model	23
Composite adaptation and learning for robot control: A survey	22
Crowd management COVID-19	21
Model Predictive Control of water resources systems: A review and research agenda	21
Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization	20
Industrial digital ecosystems: Predictive models and architecture development issues	20
Advanced control using decomposition and simple elements	20
Explainable heat demand forecasting for the novel control strategies of district heating systems	20