2021

最新文章

• New Results on Stabilization of Port-Hamiltonian Systems via PID Passivity-Based Control AI翻译
  作者：Borja, Pablo; Ortega, Romeo; Scherpen, Jacquelien M. A.
  作者单位：University of Groningen; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); Universite Paris Saclay; ITMO University
  摘要：In this article, we present some new results for the design of PID passivity-based controllers (PBCs) for the regulation of port-Hamiltonian (pH) systems. The main contributions of this article are: (i) new algebraic conditions for the explicit solution of the partial differential equation required in this design; (ii) revealing the deleterious impact of the dissipation obstacle that limits the application of the standard PID-PBC to systems without pervasive dissipation; (iii) the proposal of ...
• Fault Diagnosability Analysis of Two-Dimensional Linear Discrete Systems AI翻译
  作者：Zhao, Dong; Ahn, Choon Ki; Paszke, Wojciech; Fu, Fangzhou; Li, Yueyang
  作者单位：University of Cyprus; Korea University; University of Zielona Gora; Sun Yat Sen University; University of Jinan
  摘要：In this article, a systematic fault diagnosability evaluation, including fault detectability and isolability, is established in a quantitative manner for two-dimensional systems. With ingenious data formulation, a parity relation of two-dimensional systems is first established, then the Kullback-Leibler divergence is employed as the key measure for the diagnosability analysis based on the established parity relation. The basic idea is to quantify the distribution differences among each fault s...
• Actuator Placement Under Structural Controllability Using Forward and Reverse Greedy Algorithms AI翻译
  作者：Guo, Baiwei; Karaca, Orcun; Summers, Tyler; Kamgarpour, Maryam
  作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Texas System; University of Texas Dallas; University of British Columbia
  摘要：Actuator placement is an active field of research, which has received significant attention for its applications in complex dynamical networks. In this article, we study the problem of finding a set of actuator placements minimizing the metric that measures the average energy consumed for state transfer by the controller, while satisfying a structural controllability requirement and a cardinality constraint on the number of actuators allowed. As no computationally efficient methods are known t...
• Controlling Human Utilization of Failure-Prone Systems via Taxes AI翻译
  作者：Hota, Ashish R.; Sundaram, Shreyas
  作者单位：Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kharagpur; Purdue University System; Purdue University
  摘要：We consider a game-theoretic model where individuals compete over a shared failure-prone system or resource. We investigate the effectiveness of a taxation mechanism in controlling the utilization of the resource at the Nash equilibrium when the decision-makers have behavioral risk preferences, captured by prospect theory. We first observe that heterogeneous prospect-theoretic risk preferences can lead to counter-intuitive outcomes. In particular, for resources that exhibit network effects, ut...
• Definition of State-in-Mode Participation Factors for Modal Analysis of Linear Systems AI翻译
  作者：Iskakov, Alexey B.
  作者单位：V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences; Russian Academy of Sciences
  摘要：Modal participation factors are widely used in the power industry and other applied areas. Hashlamoun, Hassouneh, and Abed (2009) observed that the definition of state-in-mode participation factors (SIMPFs) commonly used in the modal analysis of linear systems could lead to inadequate results. Accordingly, they proposed an alternative definition of SIMPFs. This article uncovered a weakness in their formulation in that it yields results highly sensitive to varying eigenvector normalizations for...
• Distributed Nonconvex Optimization of Multiagent Systems Using Boosting Functions to Escape Local Optima AI翻译
  作者：Welikala, Shirantha; Cassandras, Christos G.
  作者单位：Boston University; Boston University
  摘要：In this article, we address the problem of multiple local optima arising due to nonconvex objective functions in cooperative multiagent optimization problems. To escape such local optima, we propose a systematic approach based on the concept of boosting functions. The underlying idea is to temporarily transform the gradient at a local optimum into a boosted gradient with a nonzero magnitude. We develop a distributed boosting scheme based on a gradient-based optimization algorithm using a novel...
• H∞ Functional Filtering for Linear Systems With Unknown Inputs AI翻译
  作者：Darouach, Mohamed; Fernando, Tyrone
  作者单位：Universite de Lorraine; University of Western Australia
  摘要：A new method for H-infinity functional filtering for systems with unknown inputs is presented. First, a functional filtering technique is presented, then we show that the dynamic of estimation error can be modeled in the descriptor system form, this formulation makes it possible to describe the dynamic estimation error free of the derivative of the disturbances. The filter parameters are obtained from the bounded real lemma of descriptor systems. The developed approach unifies the design of fu...
• Unified Formulation of Multiagent Coordination With Relative Measurements AI翻译
  作者：Sakurama, Kazunori
  作者单位：Kyoto University
  摘要：This article provides a unified solution to a general coordination problem of multiagent systems with relative measurements, including uncertain transformations in translation, rotation, reflection, and scale. First, we introduce relative measurements described by a matrix group expressing such transformations in a unified way. Then, we derive a necessary, and sufficient condition to achieve a coordination task by relative, distributed control according to a network topology, and a class of me...
• Analysis and Synthesis of Low-Gain Integral Controllers for Nonlinear Systems AI翻译
  作者：Simpson-Porco, John W.
  作者单位：University of Toronto
  摘要：Relaxed conditions are given for stability of a feedback system consisting of an exponentially stable multi-input multi-output nonlinear plant and an integral controller. Roughly speaking, it is shown that if the composition of the plant equilibrium input-output map and the integral feedback gain is infinitesimally contracting, then the closed-loop system is exponentially stable if the integral gain is sufficiently low. The main result is illustrated with an application arising in frequency co...
• Stochastic Iterative Learning Control for Lumped- and Distributed-Parameter Systems: A Wiener-Filtering Approach AI翻译
  作者：Deutschmann-Olek, Andreas; Stadler, Georg; Kugi, Andreas
  作者单位：Technische Universitat Wien; Technische Universitat Wien
  摘要：This article presents a stochastically optimal iterative learning control (ILC) approach by designing a general integral learning operator which minimizes the expected mean-squares output error. The proposed learning law generalizes existing optimal PD-type learning laws and the resulting optimal learning operator turns out to be the solution of the noncausal Wiener-Hopf equation. The proposed solution can be interpreted as a systematic dual to traditional norm-optimal ILC schemes with superio...