This paper proposes a novel data-driven approach to construct symbolic models for large-scale interconnected networks with unknown dynamics and interconnection topologies, enabling formal control synthesis with correctness guarantees, without relying on traditional small-gain conditions.
複数のサブシステムから構成されるネットワーク化システムの安定性を、サブシステムのゲインと相互接続の情報を組み合わせた行列の離散時間対角安定性によって評価できる。
This paper presents a novel sufficient condition for finite-gain L2 input-to-output stability of networked systems based on the discrete-time diagonal stability (DTDS) of a matrix combining subsystem gains and interconnection strengths.
본 논문에서는 스위칭 신호의 미래 값을 알 수 없는 시간 의존 스위칭을 가지는 선형 스위치 시스템을 위해 평균 예측기 기반 피드백 제어 법칙을 개발하고, 이 제어 법칙을 사용했을 때 폐루프 시스템의 지수 안정성을 보장하는 조건을 제시합니다.
This paper presents a novel average predictor-feedback control strategy for stabilizing switched linear systems with input delays, addressing the challenge of unknown future switching signals by utilizing an average predictor based on expected system parameters.
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.
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.
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.
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.
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.