Robust Data-Driven Tube-Based Zonotopic Predictive Control with Closed-Loop Guarantees for Unknown Linear Systems
A robust data-driven tube-based zonotopic predictive control (TZPC) approach is proposed for discrete-time linear systems with unknown dynamics and bounded noise, ensuring stability and recursive feasibility.
Robust Decentralized Observer and Controller Design for Improved Load Frequency Control in Multi-Area Power Systems
An integrated design approach is proposed to simultaneously optimize the performance of decentralized observers and controllers for load frequency control in multi-area power systems, considering the interactions between areas and the bidirectional effects between the local observer and controller.
Training Neural Network Controllers with Guaranteed Stability Margins
This paper presents a method to train neural network controllers with guaranteed stability margins, specifically the disk margin, for linear time-invariant plants interconnected with uncertainties and nonlinearities described by integral quadratic constraints.
Generalization of Gershgorin's Theorem: Analysis and Synthesis of Control Systems
The article presents a generalization of Gershgorin's theorem to analyze and synthesize control systems with parametrically uncertain and time-varying matrices, including those without diagonal dominance.
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.
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