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26th ACM International Conference on Hybrid systems: Computation and control, HSCC 2023, Part of CPS-IoT Week 2023

作者： Delimpaltadakis, Giannis Lahijanian, Morteza Mazo, Manuel Laurenti, Luca Control Systems Technology Group Mechanical Engineering Eindhoven University of Technology Eindhoven Netherlands Aerospace Engineering Sciences Computer Science University of Colorado Boulder BoulderCO United States Delft Center for Systems Control Mechanical Engineering Delft University of Technology Delft Netherlands

ISBN: (纸本)9798400700330

Interval Markov Decision Processes (IMDPs) are finite-state uncertain Markov models, where the transition probabilities belong to intervals. Recently, there has been a surge of research on employing IMDPs as abstractions of stochastic systems for control synthesis. However, due to the absence of algorithms for synthesis over IMDPs with continuous action-spaces, the action-space is assumed discrete a-priori, which is a restrictive assumption for many applications. Motivated by this, we introduce continuous-action IMDPs (caIMDPs), where the bounds on transition probabilities are functions of the action variables, and study value iteration for maximizing expected cumulative rewards. Specifically, we decompose the max-min problem associated to value iteration to |Q| max problems, where |Q| is the number of states of the caIMDP. Then, exploiting the simple form of these max problems, we identify cases where value iteration over caIMDPs can be solved efficiently (e.g., with linear or convex programming). We also gain other interesting insights: e.g., in certain cases where the action set A is a polytope, synthesis over a discrete-action IMDP, where the actions are the vertices of A, is sufficient for optimality. We demonstrate our results on a numerical example. Finally, we include a short discussion on employing caIMDPs as abstractions for control synthesis. © 2023 Copyright held by the owner/author(s).

关键词： Markov processes

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Model Identification and control of Electromagnetic Actuation in Continuous Casting Process With Improved Quality

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 203-215页

作者： Isabela Birs Cristina Muresan Dana Copot Clara Ionescu Research Group of Dynamical Systems and Control Faculty of Engineering and ArchitectureGhent University and with EEDT Decision&ControlFlanders Make ConsortiumTech Lane Science Park 125 and 131B-9052 GhentBelgium.I.Birs the Automation Department Faculty of Automation and Applied InformaticsTechnical University of Cluj-NapocaRomania IEEE

This paper presents an original theoretical framework to model steel material properties in continuous casting line process. Specific properties arising from non-Newtonian dynamics are herein used to indicate the natural convergence of distributed parameter systems to fractional order transfer function models. Data driven identification from a real continuous casting line is used to identify model of the electromagnetic actuator device to control flow velocity of liquid steel. To ensure product specifications, a fractional order control is designed and validated on the system. A projection of the closed loop performance onto the quality assessment at end production line is also given in this paper.

关键词： Electromagnetic actuator fractional order control fractional order system model non-Newtonian material

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System Class Extensions of the Modulating Function based State Reconstruction for the Advection-Diffusion-Reaction Equation

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IEEE Transactions on Automatic control 2025年

作者： Friedrich, Folke Fokken, Nils Noack, Matti Reger, Johann Institute for Automation and Systems Engineering Technische Universität Ilmenau Control Engineering Group Ilmenau98693 Germany

In this paper, the state estimation of distributed parameter systems (PDEs) using the Modulating Function Method is extended to systems of two or higher spatial dimensions with spatially varying coefficients and general boundary conditions. At the center of the PDE observer approach lies the construction and solvability analysis of systematically obtained kernel equations determining the modulating functions. Additionally, a method for the state estimation of a class of parabolic systems with time-varying and nonlinear parameters based on Volterra integral transformations is presented. Furthermore, a linearization based strategy to deal with nonlinear reaction terms is presented. The stability of the resulting iterative feedback algorithm is proven. Numerical simulations show the validity and robustness of the methodology in two simulated examples. © 1963-2012 IEEE.

关键词： Iterative methods

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Uncertainty and its Effect on Optimal Multidrug control of Hemodynamic Variables

Uncertainty and its Effect on Optimal Multidrug Control of H...

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2024 American control Conference, ACC 2024

作者： Popescu, Teodora Birs, Isabela R. Othman, Ghada Ben Yumuk, Erhan Mihai, Marcian Hegedus, Erwin Copot, Dana De Keyser, Robin Ionescu, Clara M. Muresan, Cristina I. Technical University of Cluj-Napoca Department of Automation Cluj-Napoca Romania Ghent University Research Group on Dynamical Systems and Control Department of Electromechanics Systems and Metal Engineering Tech Lane Science Park 125 Gent9052 Belgium Istanbul Technical University Department of Control and Automation Engineering Maslak Istanbul34469 Turkey

ISBN: (纸本)9798350382655

Computer aided control in biomedical applications is gaining more and more popularity due to numerous research studies that have proven the efficiency of automatic control over manual dosing, which is highly susceptible to human errors. Optimal drug dosing is best achieved using automatic control, which triggers important benefits in terms of both costs and patient side-effects. However, mathematical models for patients are highly susceptible to large modeling uncertainty. A predictive control algorithm is designed in this paper for optimal multidrug control of hemodynamic variables. Improved closed loop performance is obtained compared to similar control strategies, for ± 30% modeling uncertainty. The simulation results demonstrate that predictive control is a feasible solution for optimal drug dosing. An analysis of the closed loop performance for significant patient variability shows that controllers tuned using a nominal patient model often fail to achieve desired robustness. To limit the effect of modeling uncertainty, the prediction model should be updated using an online identification tool to extract patient features. © 2024 AACC.

关键词： Predictive control systems

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A Machine-Learning Approach for the Development of a FOWT Model Integrated with Four OWCs 26

A Machine-Learning Approach for the Development of a FOWT Mo...

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26th International Conference on Circuits, systems, Communications and Computers, CSCC 2022

作者： Ahmad, Irfan Mzoughi, Fares Aboutalebi, Payam Garrido, Izaskun Garrido, Aitor Automatic Control Group-ACG Department of Automatic Control and Systems Engineering University of Basque Country- Upviehu Bilbao Spain

ISBN: (纸本)9781665481861

The wind-wave excitations cause structural vibrations on the Floating Offshore Wind Turbines (FOWT) pressing the power generation efficiency and reducing the life expectancy. In particular, tower-top displacement and barge-type platform pitch dynamics are extremely sensitive to wind speed and wave elevation to the point that may even lead to structural instability in extreme conditions. Having into account that computational techniques such as Artificial Neural Networks (ANNs) are widely used in artificial intelligence because of their strong predicting and forecasting capabilities, the aim of this article is to create a deep-layer ANN model that incorporates Oscillating Water Columns (OWCs) into the barge platform. This ANN model enables to address stability issues of the hybrid floating offshore wind platform. The proposed control-oriented model has been successfully validated to achieve adequate dynamic behavior and structural performance using FAST. © 2022 IEEE.

关键词： Wind

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Structural Coverability for Intelligent Automation systems 19

Structural Coverability for Intelligent Automation Systems

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19th IEEE International Conference on Automation Science and engineering, CASE 2023

作者： Eros, Endre Bengtsson, Kristofer Åkesson, Knut Chalmers University of Technology Automation Research Group Electrical Engineering Systems and Control Department Gothenburg Sweden Research and Technology Development Volvo Group Smart and Connected Operations Gothenburg Sweden

ISBN: (纸本)9798350320695

In order to be flexible and handle complex scenarios, intelligent automation systems might benefit from automated planning techniques which rely on specifications and models describing their behavior. However, due to the presence of message passing, latency, jitter, timeouts, failures, and error handling, the verification of such behavior models using formal methods is often unfeasible. Therefore, testing has emerged as an approach to evaluating the behavior of intelligent automation systems. This paper presents a way to analyze structural coverability of behavior models for intelligent automation systems, which is inspired by the modified condition/decision coverage (MC/DC) criterion. This is paired with a testing procedure that enables each test case to influence both the controller and the simulated environment by injecting some specific state. As a result, the proposed coverability criterion can effectively identify segments of the behavior model that have not been adequately tested and suggest additional test cases to improve coverability. An example use case is presented to demonstrate the effectiveness of this approach. © 2023 IEEE.

关键词： Message passing

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An Event-Triggered Tracking control Scheme Based on Predictive control Method and its Application 42

An Event-Triggered Tracking Control Scheme Based on Predicti...

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42nd Chinese control Conference, CCC 2023

作者： Cao, Lei Yumuk, Erhan Ionescu, Clara-Mihaela Liu, Guo-Ping Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Ghent University Dynamical Systems and Control Research Group Department of Electromechanical Systems and Metal Engineering Ghent9052 Belgium Center for Control Science and Technology Southern University of Science and Technology Shenzhen518055 China Istanbul Technical University Department of Control and Automation Engineering Istanbul34467 Turkey

ISBN: (纸本)9789887581543

In this paper, the tracking control problem for networked control system (NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is provided to compensate for the delays and achieve stability. Both tracking performance and input increments are considered in the proposed cost function. Based on the incremental inputs, an event-triggered mechanism is established to reduce the communication costs. The efforts of different parameters are illustrated through the results of the simulation, and the effectiveness of the proposed control scheme is also validated from the application of the networked lighting setup. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Networked control systems

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Propulsion-only control for High-Altitude Long-Endurance Aircraft Using Sliding Mode

Propulsion-only Control for High-Altitude Long-Endurance Air...

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International Workshop on Variable Structure systems, VSS

作者： Seno Sahisnu Rawikara Halim Alwi Christopher Edwards Department of Engineering Control Systems Research Group University of Exeter UK

ISBN: (数字)9798350353686

ISBN: (纸本)9798350353693

This paper explores the feasibility of using a propulsion-only control scheme for a high-altitude long-endurance UAV. This approach enables aircraft to operate even in the face of total control surface failures. A sliding mode scheme is used for the control law due to its invariance to matched uncertainty, and the reduced control authority is accommodated via a model-reference method. Similar performance compared to the fault-free case has been achieved in terms of following altitude and heading commands, in a numerical simulation using a 6-DOF nonlinear model.

关键词： Variable structure systems Uncertainty Tracking Atmospheric modeling Autonomous aerial vehicles Numerical simulation Numerical models Aircraft Sliding mode control Aerospace control

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Seamless Functional Design for an Autonomous Vehicle using a Low-Cost RCP Platform 10

Seamless Functional Design for an Autonomous Vehicle using a...

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10th IEEE International Symposium on systems engineering, ISSE 2024

作者： Jacobitz, Sven Liu-Henke, Xiaobo Becker, Uwe Ostfalia University of Applied Sciences Research Group for Control Engineering and Vehicle Mechatronics Wolfenbüttel Germany Technical University of Braunschweig Institute for Intermodal Transport and Logistics Systems Braunschweig Germany

ISBN: (纸本)9798350353723

The advancement of cooperative autonomous vehicles has seen significant progress, often necessitating the use of high-cost tools. This paper investigates the utilization of a low-cost Rapid control Prototyping (RCP) platform, LoRra, for the development of autonomous vehicle functionalities. A modular prototyping vehicle equipped with Mecanum wheels was designed to operate within a cyber-physical laboratory test field, enabling the exploration of intelligent driving functions. The LoRra platform facilitates seamless model-based development, encompassing modeling, function design, automatic code generation, and real-time implementation. The effectiveness of the LoRra platform in developing and validating autonomous driving functions is demonstrated through extensive simulations and real-time experiments. This study highlights the successful application of LoRra in the speed control of traction motors and trajectory-following control, underscoring its potential as a cost-effective and versatile tool for research and development in intelligent mobility. © 2024 IEEE.

关键词： Speed control

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Integrating data-informativity conditions in predictor models for single module identification in dynamic networks

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IFAC-PapersOnLine 2023年第2期56卷 2377-2382页

作者： Paul M.J. Van den Hof Karthik R. Ramaswamy Stefanie J.M. Fonken Control Systems Group Department of Electrical Engineering Eindhoven University of Technology The Netherlands

For consistent identification of a target module in a dynamic network with the local direct method, basically two prime conditions need to be satisfied: (a) a set of structural conditions on the choice of the predictor model, i.e. a set of input and output node variables, and (b) conditions on data-informativity. While for conditions (a) constructive algorithms for node selection have been presented that appropriately guarantee that the identified object can indeed reveal the target module, the requirements for satisfying (b) have not yet been integrated fully. In this paper, we will present simplified path-based results for generic data-informativity, and show how they can be integrated in constructive algorithms for predictor model selection that provide consistent target module estimates. It is shown that data-informativity not only requires a sufficient number of external excitation signals to be present in the network, but also puts restrictions on the structure of the predictor model, i.e. the selection of input and output node variables. Some examples are presented to illustrate the new results.

关键词： System identification identifiability dynamic networks interconnected systems

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