Results 51 to 60 of about 238,956 (287)
New Results on Stability of Linear Discrete-Time Systems With Time-Varying Delay
IEEE Access, 2020 This paper is concerned with the stability problem for linear discrete-time systems with a time-varying delay. Some relations between two general free-matrix-based summation inequalities are discussed.
Jun Chen, Xiangyong Chen
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Review of Thin Lithium Metal Battery Anode Fabrication – Microstructure – Electrochemistry Relations
Advanced Materials, EarlyView.Thin, lightweight lithium‐metal anodes are pivotal for practical high‐energy batteries. This review surveys processing routes that convert diverse Li precursors, e.g., ingots, melts, solutions, and vapor, into Li‐rich foils with controlled thickness, areal density, and tailored functionality.
Yuhang Hu +6 more
wiley +1 more source
Robust stabilization for uncertain saturated systems with multiple time delays
AIMS Mathematics, 2022 This paper is concerned with the robust stabilization problem for uncertain saturated linear systems with multiple discrete delays. First of all, a new distributed-delay-dependent polytopic approach is proposed, and a new type of Lyapunov-Krasovskii ...
Yuzhen Chen, Haoxin Liu , Rui Dong
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A Robust Constrained Reference Governor Approach using Linear Matrix Inequalities [PDF]
, 2009 The purpose of this paper is to examine and provide a solution to the output reference tracking problem for uncertain systems subject to input saturation.
Alamo, Teodoro +4 more
core
PIETOOLS: A Matlab Toolbox for Manipulation and Optimization of Partial Integral Operators
, 2020 In this paper, we present PIETOOLS, a MATLAB toolbox for the construction and handling of Partial Integral (PI) operators. The toolbox introduces a new class of MATLAB object, opvar, for which standard MATLAB matrix operation syntax (e.g.
bergman +5 more
core +1 more source
Opportunistic localization scheme based on Linear Matrix Inequality [PDF]
2009 IEEE International Symposium on Intelligent Signal Processing, 2009 Enabling self-localization of mobile nodes is an important problem that has been widely studied in the literature. The general conclusions is that an accurate localization requires either sophisticated hardware (GPS, UWB, ultrasounds transceiver) or a dedicated infrastructure (GSM, WLAN).
ZORZI FRANCESCO +3 more
openaire +4 more sources
Ultrasound in Women's Health: Mechanisms, Applications, and Emerging Opportunities
Advanced Materials, EarlyView.As healthcare moves toward decentralization, ultrasound technologies are evolving from strictly imaging tools in clinical settings into versatile diagnostic and therapeutic platforms, with growing roles addressing women's health needs. This review highlights how ultrasound's underlying physical mechanisms can be harnessed to reduce disparities in women'
Sarah B. Ornellas +7 more
wiley +1 more source
Robust input shaper design using Linear Matrix Inequalities [PDF]
2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 This paper proposes an Linear Matrix Inequality based problem formulation to determine input shaped profiles. The cost function is the residual energy, a quadratic function of the amplitude of the shaped profile, for each sampling interval. The Schur complement permits representing the quadratic function as a Linear Matrix Inequality.
Thomas Conord, Tarunraj Singh
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Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Data-Driven Stabilization: A Robust Control Approach with Linear Matrix Inequalities
Sir Syed University Research Journal of Engineering and TechnologyIn this paper, we present a novel data-driven approach to stabilize discretized batch reactor systems under the influence of noisy data. By leveraging the framework of Linear Matrix Inequalities (LMIs), our method eliminates the need for explicit system
Chandar Kumar +2 more
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