Results 141 to 150 of about 10,834,365 (253)
ABSTRACT Power system operation is inherently a sequential decision‐making problem, traditionally addressed through optimisation models built upon high‐quality load forecasts. However, the rapid proliferation of renewable generation and price‐responsive demands, such as electric vehicles and merchant energy storage, has introduced multiple sources of ...
Wei Wei, Runze Liang
wiley +1 more source
ABSTRACT Electric power systems are undergoing a fundamental transition from synchronous generator (SG)‐dominated systems to inverter‐based resource (IBR)‐dominated systems. Lyapunov‐ and energy‐function‐based direct methods provide an effective way to estimate the stability region, also known as the region of attraction (ROA), and have become a ...
Yifan Zhang +5 more
wiley +1 more source
In the present thesis, the Compound Matrix Theory is applied for the computation of the Lyapunov Characteristic Exponents of autonomous Hamiltonian systems of various degrees of freedom. The method is approached by the aspect of the exterior (Grassmann) algebra and the wedge product.
openaire +2 more sources
Relative Arbitrage Opportunities With Interactions Among N Investors
ABSTRACT The relative arbitrage portfolio outperforms a benchmark portfolio over a given time‐horizon with probability one. With market price of risk processes depending on the market portfolio and investors, this paper analyzes the multi‐agent optimization of relative arbitrage opportunities in the coupled system of market and wealth dynamics.
Tomoyuki Ichiba, Nicole Tianjiao Yang
wiley +1 more source
Non-Lyapunov stability of linear singular systems: A quite new approach in time domain
The main features of Non - Lyapunov stability concept have been extended to the linear regular time-invariant singular systems operating in free regime.
Nie YY(聂义勇), Debeljkovic, DL
core
Nonparametric Survival Estimation With Contaminated and Adjudicated Events
ABSTRACT We study the conditional expert Kaplan–Meier estimator, an extension of the classical Kaplan–Meier estimator designed for time‐to‐event data subject to both right‐censoring and contamination. Such contamination, where observed events may not reflect true outcomes, is common in applied settings, including insurance and credit risk, where expert
Martin Bladt, Kristian Vilhelm Dinesen
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This study is concerned with the application of consensus control to a class of discrete‐time nonlinear multi‐agent systems with unknown inputs and additive noise. The aim is to design an extended Kalman unknown input observer (EKUIO) such that the state vector of a discrete‐time nonlinear system can be estimated, additive noise can be mitigated, and ...
Yan Ren +3 more
wiley +1 more source
[[abstract]]This paper addresses stability analysis and stabilization for Takagi-Sugeno (T-S) fuzzy systems with model uncertainties via a so-called fuzzy Lyapunov function, which is a multiple Lyapunov function.
黃景東;J.D.Hwang;蔡志仁;Tsai, Zhi-Ren
core
Design Principles for Light‐Scattering Reservoir Computing at the Edge of Chaos
Here we realize a light‐scattering reservoir computer operating with measurement‐modulation feedback, physically tunable in three axes—reservoir dynamics, input‐reservoir coupling, and reservoir interconnectivity. Sweeping each axis, we locate the axis‐specific optimum of memory capacity; the dynamic axis displays the sharpest optimum.
Geon Kim, YongKeun Park
wiley +1 more source
Surrogate‐Assisted Nonlinear Model Predictive Control for a Lambda Robot
ABSTRACT This work presents a nonlinear model predictive control (NMPC) framework for a lambda‐shaped parallel robot that incorporates data‐driven surrogates to facilitate control design. An inverse surrogate model is used to provide an efficient initialization of the control inputs for NMPC.
Sanam Hajipour +2 more
wiley +1 more source

