Results 81 to 90 of about 1,159 (214)

The role of identification in data‐driven policy iteration: A system theoretic study

International Journal of Robust and Nonlinear Control, EarlyView.
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley   +1 more source

The Evolution of Autonomous Systems for Planetary Cave Exploration: A Review

Journal of Field Robotics, EarlyView.
ABSTRACT The exploration of Subsurface Access Points (SAPs), such as lava tubes on the Moon and Mars, has gained significant interest due to their potential as stable environments shielded from surface radiation and temperature extremes. These sites are considered high‐value targets for detecting water and signs of ancient life, and assessing their ...
Sarah Swinton, Daniel Mitchell, Jamie Blanche, Euan McGookin, David Flynn   +4 more
wiley   +1 more source

Comparative analysis of advanced constraint-handling in quantum PSO with differential mutation for optimal power flow. [PDF]

Sci Rep
Naidji M, Toubal Maamar AE, Rahal MI, Mekhilef S, Seyedmahmoudian M, Stojcevski A.   +5 more
europepmc   +1 more source

Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach

Journal of Field Robotics, EarlyView.
ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp, Matteo Corno, Giulio Panzani, Sergio Matteo Savaresi   +3 more
wiley   +1 more source

Beyond diagonal noise: A better predator-prey modeling framework with cross-covariance. [PDF]

PLoS One
Yu J, Wang LS.
europepmc   +1 more source

An infeasible Predictor-Corrector Interior Point Method Applied to Image Denoising

, 1997
Image recovery problems can be solved using optimization techniques. In this case, they often lead to the resolution of either a large scale quadratic program, or, equivalently, to a nondifferentiable minimization problem. Interior point methods are widely known for their efficiency in linear programming. Lately, they have been extended with success to
Pola, Cecilia, Sagastizábal, Claudia
openaire   +1 more source

Isolation, Insularity and Resilience: A Review of the Geophysical, Socioeconomic, and Environmental Vulnerabilities of Gran Canaria and Lesvos Islands for Policy Interventions to Global Change

Sustainable Development, EarlyView.
ABSTRACT The dynamic nature of small islands being geographically isolated and their perceived connectedness with global networks complicates research attempts to draw general conclusions on whether insularity leads to marginalization or strengthens their resilience for sustainable development.
Toheeb Lekan Jolaosho, Mazen Marouani, Takwa Boughanmi   +2 more
wiley   +1 more source

Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference. [PDF]

J Cheminform
Song B, Zhu J, Azam NA, Haraguchi K, Zhao L, Akutsu T.   +5 more
europepmc   +1 more source

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Improving SVM performance through data reduction and misclassification analysis with linear programming. [PDF]

Complex Intell Systems
Suárez CA, Castro M, Leon M, Martin-Barreiro C, Liut M.   +4 more
europepmc   +1 more source