Optimized Fractional Order Fuzzy Type-II PI Control for Enhancing the Performance of Grid-Connected Modular Multilevel Converters
A novel control strategy for grid-connected modular multilevel converters (GC-MMCs) using a Fractional Order Fuzzy Type-II PI (FOFPI) controller optimized by the Whale Optimization Algorithm (WOA) to achieve improved performance and robustness under various operating conditions.
Adaptive Time Delay-Based Control for Stabilizing Non-Collocated Oscillatory Systems with Constrained Actuators
An adaptive time delay-based control approach is proposed to effectively stabilize non-collocated fourth-order oscillatory systems with constrained actuators, overcoming the practical infeasibility of classical observer-based state-feedback control.
Stabilization of Linear Systems with Input Delay and State/Input Quantization via Switched Predictor Feedback
A switched predictor-feedback control design achieves global asymptotic stabilization of linear systems with input delay and quantized plant/actuator state measurements or quantized control input.
Synthesizing Neural Network Controllers with Guaranteed Closed-Loop Dissipativity
The core message of this paper is to present a method for synthesizing neural network controllers that guarantee closed-loop dissipativity, enabling certification of performance requirements such as stability and L2 gain bounds, for a class of uncertain linear time-invariant plants.
A Data-Driven Approach to Fault Diagnosis Using Unknown-Input Observers
The core message of this article is to propose a data-driven approach for designing a residual generator based on a dead-beat unknown-input observer (UIO) for linear time-invariant discrete-time state-space models affected by both disturbances and actuator faults. The authors derive necessary and sufficient conditions for the problem solvability using only the available data, without requiring knowledge of the original system matrices.
Fully Automated Verification of Linear Time-Invariant Systems Against Signal Temporal Logic Specifications via Reachability Analysis
This work presents a fully-automated verifier for linear time-invariant systems that can decide whether the system satisfies a given signal temporal logic (STL) specification for all initial states and uncertain inputs.
Deep Reinforcement Learning Control for Disturbance Rejection in a Nonlinear Dynamic System with Parametric Uncertainty
Deep reinforcement learning control can effectively reject multiple independent and time-correlated stochastic disturbances in a nonlinear dynamic system with parametric uncertainty.
Setpoint Control of Bilinear Systems from Noisy Data: A Data-Driven Approach
For bilinear systems with unknown parameters, a data-driven controller can be designed to asymptotically stabilize a desired state setpoint and provide a guaranteed basin of attraction, even in the presence of noisy data.
Nonlinear PID Control with Improved Convergence for Perturbed Second-Order Systems
A novel nonlinear extension of the PID feedback control is proposed to improve convergence performance in the presence of matched unknown perturbations in second-order systems.
Decentralized Feedback Optimization for Networked Systems: Stability and Sub-optimality Analysis
The core message of this article is to propose a fully decentralized feedback optimization controller for networked systems that approximates the overall input-output sensitivity matrix through its diagonal elements, and to characterize the stability and sub-optimality of the closed-loop system.
