The field of control systems is moving towards the development of more sophisticated and adaptive control strategies for complex networks and nonlinear systems. Recent research has focused on the design of control systems that can accommodate uncertainties and nonlinearities in real-time, using techniques such as adaptive control, dissipativity learning, and control barrier functions. These approaches have shown promising results in improving the stability and performance of complex systems, including integrated energy systems, hybrid power plants, and AC microgrids. Noteworthy papers in this area include the development of a nonparametric framework for dissipativity learning in reproducing kernel Hilbert spaces, which enables data-driven certification of stability and performance properties for unknown nonlinear systems. Another notable work is the introduction of the Universal Barrier Function, a single continuously differentiable scalar-valued function that encodes both stability and safety criteria while accounting for input constraints. These advancements have the potential to significantly impact the control and optimization of complex systems, enabling more efficient, safe, and reliable operation.
Advancements in Control Systems for Complex Networks and Nonlinear Systems
Sources
Adaptive Control for a Physics-Informed Model of a Thermal Energy Distribution System: Qualitative Analysis
Technical Report for Dissipativity Learning in Reproducing Kernel Hilbert Space
Constrained computational hybrid controller for Input Affine Hybrid Dynamical Systems
GOSPA-Driven Non-Myopic Multi-Sensor Management with Multi-Bernoulli Filtering
Universal Barrier Functions for Safety and Stability of Constrained Nonlinear Systems
Lyapunov Stability Learning with Nonlinear Control via Inductive Biases
Hopfield Neural Networks for Online Constrained Parameter Estimation with Time-Varying Dynamics and Disturbances
Model Predictive Control with Multiple Constraint Horizons
Constrained Performance Boosting Control for Nonlinear Systems via ADMM
Explicit MPC for the constrained zonotope case with low-rank matrix updates
Decentralized Voltage Control of AC Microgrids with Constant Power Loads using Control Barrier Functions
Removing Time-Scale Separation in Feedback-Based Optimization via Estimators
ComEMS4Build: Comfort-Oriented Energy Management System for Residential Buildings using Hydrogen for Seasonal Storage
Overview and Performance Evaluation of Supervisory Controller Synthesis with Eclipse ESCET v4.0
Funnel-Based Online Recovery Control for Nonlinear Systems With Unknown Dynamics
Control Affine Hybrid Power Plant Subsystem Modeling for Supervisory Control Design