Article
Automation & Control Systems
Florentina Nicolau, Witold Respondek, Shunjie LI
Summary: This paper studies feedback linearization of multi-input control-affine systems using a particular class of nonregular feedback transformations, and provides geometric necessary and sufficient conditions to describe these systems.
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
(2022)
Article
Automation & Control Systems
Marcin Nowicki, Witold Respondek
Summary: We propose a mechanical linearization procedure that preserves the mechanical structure of control systems. Necessary and sufficient conditions for linearizing the system in state-space and feedback cases are provided. Unlike classical approaches, the proposed mechanical linearization does not require the assumption of controllability of the linearized system.
Article
Automation & Control Systems
Armin Lederer, Zewen Yang, Junjie Jiao, Sandra Hirche
Summary: For single agent systems, probabilistic machine learning techniques based on Gaussian process regression can be used to improve control laws by inferring unknown nonlinear models. However, this decentralized learning approach can lead to poor control performance for multiagent systems due to individual agent models being accurate only in small regions of the state space. To overcome this issue, we propose a novel method for distributed aggregation of Gaussian process models and extend probabilistic error bounds for Gaussian process regression. Based on this distributed learning method, we develop a cooperative tracking control law for multiagent systems with partially unknown, higher order, control-affine dynamics, and analyze its stability using Lyapunov theory. Numerical evaluations demonstrate the effectiveness of our proposed methods.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Yue Zhao, Xin Du, Chunjie Zhou, Yu-Chu Tian, Xiaoya Hu, Daniel E. Quevedo
Summary: This article introduces an idea to address both actuator attacks and sensor attacks in cyber-physical systems (CPSs) and simplifies the mathematical modeling of attacked CPSs by using feedback linearization control, thus reducing the difficulty of resilient controller design.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Yahao Chen
Summary: The article investigates feedback linearization problems for nonlinear differential-algebraic control systems (DACS), considering external and internal feedback equivalences, as well as a concept of explicitation with driving variables. Necessary and sufficient conditions for feedback linearization of DACS are provided, showing a close relationship between feedback linearizability and the involutivity of explicitation systems. The results are illustrated with an academic example and a constrained mechanical system.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Energy & Fuels
Ping Yang, Yinguo Yang, Ziwen Liu, Yi Yang, Yinjie Qin
Summary: This paper investigates the feedback linearization and disturbance compensation methods in the Voltage Source Converter based High Voltage Direct Current (VSC-HVDC) system. Through analysis on the PSCAD/EMTDC simulation platform, the results show that the proposed controller based on feedback linearization and disturbance compensation principle exhibits better dynamic performance and higher robustness.
Article
Computer Science, Information Systems
Na Lin, Ronghu Chi, Biao Huang
Summary: This work proposes a data-driven optimal set-point control (DDOSC) scheme for nonlinear non-affine systems, which bypasses the challenges of modeling complex processes. The proposed method adopts an ideal nonlinear set-point control function in the outer loop, which is transformed into a linear parametric control law using dynamic linearization (DL), and then updated through a parameter updating law. Simulation results demonstrate the effectiveness of the proposed method in improving the performance of the local feedback controller.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Adrian Ruiz, Damiano Rotondo, Bernardo Morcego
Summary: This paper presents a shifting feedback linearization controller for nonlinear systems with input saturation. The controller is able to handle nonlinear systems with state-dependent input constraints and adjusts the closed-loop convergence speed of the system based on changes in the system's region of linearity. The proposed approach is validated through an experimental example.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Mario Baggetta, Giovanni Berselli, Gianluca Palli, Claudio Melchiorri
Summary: Recent technological advances have brought changes to the design of robotics, allowing for safe and dependable physical human-robot interaction and human-like prosthesis. This study presents a new design for an anthropomorphic elbow variable stiffness actuator (VSA) and proposes a dynamic feedback linearization algorithm that takes into account the viscoelasticity of transmission elements. Experimental studies and simulations demonstrate improved trajectory tracking compared to static feedback control algorithms.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Weiyu Wang, Xin Yin, Lin Jiang, Yijia Cao, Yong Li
Summary: The VSC-MTDC system with offshore wind farms faces uncertainties and nonlinearities that could impact its performance and stability. This paper proposes a PONC approach to improve the robustness of the system by estimating perturbations and designing controllers to compensate for them, achieving robust tracking performance without requiring an accurate system model. The effectiveness of PONC is demonstrated through a 5-terminal VSC-MTDC system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Automation & Control Systems
Rollen S. D'Souza, Christopher Nielsen
Summary: This paper characterizes the necessary and sufficient conditions for a single-input system to be locally transversally feedback linearizable to a specific submanifold using exterior differential systems.
Article
Automation & Control Systems
Weijiang Zheng, Bing Zhu
Summary: This paper presents a stochastic model predictive control (MPC) framework for nonlinear affine systems with stability and feasibility guarantee. The concept of stochastic control Lyapunov-Barrier function (CLBF) is introduced, and a method to construct CLBF is provided by combining an unconstrained control Lyapunov function (CLF) and control barrier functions. The proposed CLBF based stochastic MPC utilizes sampled-data MPC framework to handle states and inputs constraints and to analyze stability of closed-loop systems. Event-triggering mechanisms are also integrated into the MPC framework to improve performance during sampling intervals.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Johannes Diwold, Bernd Kolar, Markus Schoeberl
Summary: This article discusses the design of a discrete-time flatness-based tracking control for a gantry crane and demonstrates its practical applicability through measurement results. The approach involves deriving a sampled-data model via Euler-discretization while preserving the flatness of the continuous-time system, and designing the controller in two steps for linearization and stable tracking error dynamics enforcement. The comparison with classical continuous-time approaches shows the discrete-time controller's significant robustness with large sampling times, as well as its facilitation of optimal reference trajectory design and presentation of further measurement results.
CONTROL ENGINEERING PRACTICE
(2022)
Article
Multidisciplinary Sciences
Selahattin Gulsen, Shao-Wen Yao, Mustafa Inc
Summary: In this study, invariance analysis, conservation laws, and exact power series solutions of time fractional generalized Drinfeld-Sokolov systems were investigated using Lie group analysis. Symmetries were used to reduce the time fractional GDSS equation to a nonlinear ODE of fractional order, and conservation laws were constructed with explicit power series solutions obtained.
Article
Chemistry, Multidisciplinary
Haibo Huo, Kui Xu, Lixiang Cui, Hao Zhang, Jingxiang Xu, Xinghong Kuang
Summary: This paper presents a control strategy based on input-output feedback linearization technology to control the temperature gradient in SOFC by adjusting the cathode input air flow. Simulation results demonstrate the accuracy of the proposed model in reflecting temperature dynamic characteristics and show that the proposed controller has better effectiveness and efficiency in the presence of external disturbances compared to a compound controller.
Article
Mathematics, Applied
Garrett Dean, Taylor Klotz, Barbara Prinari, Federica Vitale
APPLICABLE ANALYSIS
(2013)
Article
Mathematics, Applied
Jeanne N. Clelland, Taylor Klotz
ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS
(2020)
Article
Mathematics, Applied
J. W. Burby, T. J. Klotz
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2020)
Article
Automation & Control Systems
Monique Chyba, Taylor Klotz, Yuriy Mileyko, Corey Shanbrom
Summary: Compartmental models have been widely used in mathematical epidemiology and their importance has been highlighted during the COVID-19 pandemic. However, classical models often neglect certain features of diseases like COVID-19, such as the recovery of exposed individuals without becoming infectious, or the transmission rate difference between symptomatic and asymptomatic individuals. This paper proposes two new compartmental epidemiological models and studies their equilibria. It also explores the use of vaccination and mitigation as control measures in the models, presenting simulations and investigating optimal control strategies. The paper concludes with open problems and potential directions for future research.
MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS
(2023)
Article
Mathematics, Applied
Pooja Rani, M. K. Vemuri
Summary: This article discusses the knot beta function for compactly supported distributions in Euclidean space and analyzes the analytic continuation of the beta function for double-layer distributions on the complex plane, as well as the relationship between residues and invariants of the second fundamental form.
DIFFERENTIAL GEOMETRY AND ITS APPLICATIONS
(2024)
Article
Mathematics, Applied
Jacob Van Hook
Summary: This study considers complete locally irreducible conullity two Riemannian manifolds with constant scalar curvature along nullity geodesics. We find a naturally defined open dense subset where the metric can be described using several functions uniquely determined up to isometry. Additionally, we prove that the fundamental group of such manifolds is either trivial or infinite cyclic.
DIFFERENTIAL GEOMETRY AND ITS APPLICATIONS
(2024)
Article
Mathematics, Applied
J. F. Silva Filho
Summary: In this article, we investigate quasi-Einstein manifolds admitting a closed conformal vector field, and present rigidity results for constant scalar curvature and non-parallel gradient conformal vector field.
DIFFERENTIAL GEOMETRY AND ITS APPLICATIONS
(2024)