Behavioral systems theory in data-driven analysis, signal processing, and control
Ivan Markovsky,Florian Dörfler +1 more
TLDR
Data-driven analysis, signal processing, and control methods as mentioned in this paper can be broadly classified as implicit and explicit approaches, with the implicit approach being more robust to uncertainty and robustness to noise.About:
This article is published in Annual Reviews in Control.The article was published on 2021-11-10 and is currently open access. It has received 38 citations till now. The article focuses on the topics: Robust control & Model predictive control.read more
Citations
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Book ChapterDOI
Data-Driven Dissipative Verification of LTI Systems: Multiple Shots of Data, QDF Supply-Rate and Application to a Planar Manipulator
TL;DR: In this paper , a data-driven dissipative verification method for LTI systems based on using multiple input-output data is presented, assuming that the supply-rate functions have a quadratic difference form corresponding to the general dissipativity notion known in the behavioural framework.
Proceedings ArticleDOI
On a Continuous-Time Version of Willems’ Lemma
TL;DR: In this article , a method to represent every input-output trajectory of a continuous-time linear system in terms of previously collected data is presented, which corresponds to a continuous time version of the well-known Willems lemma.
Journal ArticleDOI
Standard and Fractional Discrete-Time Linear Systems with Zero Transfer Matrices
TL;DR: In this paper , the transfer matrix of the standard and fractional linear discrete-time linear systems is investigated and necessary and sufficient conditions for zeroing of the transfer matrices are established.
Journal ArticleDOI
Data‐driven control of dynamic event‐triggered systems with delays
TL;DR: In this article , a data-driven control of unknown sampled-data linear systems with communication delays under an event-triggering transmission mechanism is proposed, and a model-based stability condition for the resulting event-triggered time-delay system is established using a novel looped functional approach.
Proceedings ArticleDOI
Imitation and Transfer Learning for LQG Control
TL;DR: In this article , an imitation and transfer learning approach is proposed for linear quadratic Gaussian (LQG) control, where the system dynamics, noise statistics and cost function are unknown and expert data is provided to learn the LQG controller.
References
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Journal ArticleDOI
Time Series Analysis: Forecasting and Control
TL;DR: Time Series Analysis and Forecasting: principles and practice as mentioned in this paper The Oxford Handbook of Quantitative Methods, Vol. 3, No. 2: Statistical AnalysisTime-Series ForecastingPractical Time-Series AnalysisApplied Bayesian Forecasting and Time Series AnalysisSAS for Forecasting Time SeriesApplied Time Series analysisTime Series analysisElements of Nonlinear Time Series analyses and forecastingTime series analysis and forecasting by Example.
Journal ArticleDOI
Model predictive control: theory and practice—a survey
TL;DR: The flexible constraint handling capabilities of MPC are shown to be a significant advantage in the context of the overall operating objectives of the process industries and the 1-, 2-, and ∞-norm formulations of the performance objective are discussed.
Book
Proximal Algorithms
Neal Parikh,Stephen Boyd +1 more
TL;DR: The many different interpretations of proximal operators and algorithms are discussed, their connections to many other topics in optimization and applied mathematics are described, some popular algorithms are surveyed, and a large number of examples of proxiesimal operators that commonly arise in practice are provided.
Book
Optimal Control: Linear Quadratic Methods
TL;DR: In this article, an augmented edition of a respected text teaches the reader how to use linear quadratic Gaussian methods effectively for the design of control systems, with step-by-step explanations that show clearly how to make practical use of the material.