Results 1 to 10 of about 1,153,224 (274)
Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach [PDF]
IEEE Robotics and Automation Letters, 2021 This paper presents Learning-based Autonomous Guidance with RObustness and Stability guarantees (LAG-ROS), which provides machine learning-based nonlinear motion planners with formal robustness and stability guarantees, by designing a differential Lyapunov function using contraction theory.
Hiroyasu Tsukamoto, Soon‐Jo Chung
arxiv +10 more sources
On Solutions and Stability of Stochastic Functional Equations Emerging in Psychological Theory of Learning [PDF]
Axioms, 2022 We show how to apply the well-known fixed-point approach in the study of the existence, uniqueness, and stability of solutions to some particular types of functional equations. Moreover, we also obtain the Ulam stability result for them.
Ali Turab, Janusz Brzdęk, Wajahat Ali
doaj +3 more sources
Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview [PDF]
Annual Reviews in Control; Volume 52; 2021; Pages 135-169; ISSN
1367-5788, 2021 Contraction theory is an analytical tool to study differential dynamics of a non-autonomous (i.e., time-varying) nonlinear system under a contraction metric defined with a uniformly positive definite matrix, the existence of which results in a necessary and sufficient characterization of incremental exponential stability of multiple solution ...
Hiroyasu Tsukamoto +2 more
arxiv +9 more sources
Evaluation of Goaf Stability Based on Transfer Learning Theory of Artificial Intelligence [PDF]
IEEE Access, 2019 Current artificial intelligence models for evaluating goaf stability in underground metal mines need a large amount of sample data for training, and their accuracy declines with small sample size. With the aim of solving this problem, this paper proposes
Yaguang Qin +4 more
doaj +4 more sources
International Journal of Analysis and Applications, 2023 The psychological learning theory (PLT) in the formation of moral verdict is represented by the choice-practice paradigm. It involves weighing the effects of various options and choosing one to put into practice.
Doha A. Kattan, Hasanen A. Hammad
doaj +4 more sources
The effects of spatial stability and cue type on spatial learning: Implications for theories of parallel memory systems [PDF]
Cognition, 2021 Some theories of spatial learning predict that associative rules apply under only limited circumstances. For example, learning based on a boundary has been claimed to be immune to cue competition effects because boundary information is the basis for the formation of a cognitive map, whilst landmark learning does not involve cognitive mapping.
Matt Buckley +6 more
+10 more sources
Existence, Uniqueness, and Stability Analysis of the Probabilistic Functional Equation Emerging in Mathematical Biology and the Theory of Learning [PDF]
Symmetry, 2021 Probabilistic functional equations have been used to analyze various models in computational biology and learning theory. It is worth noting that they are linked to the symmetry of a system of functional equations’ transformation. Our objective is to propose a generic probabilistic functional equation that can cover most of the mathematical models ...
Ali Turab, Won-Gil Park, Wajahat Ali
openalex +4 more sources
International Journal of Higher Education, 2022 Higher institutions of learning (HIL) occasionally face conflict situations. These range from minor confrontations and demonstrations to violent strikes. The aim of this study was to align theories with conflict management in HIL to avert looming crises that might affect the core businesses of HIL. Given that conflicts are miscellaneous and disputable,
Yusuf Lukman +2 more
openalex +3 more sources
IFAC Proceedings Volumes, 2013 Abstract Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the use of information generated on the previous trial to compute the control input for the next one and the basic problem is to ...
Wojciech Paszke +2 more
openalex +3 more sources
Computational Materials Science, 2020 Abstract The multicomponent Ti alloys, specifically the β -phase, have experienced a strong growth over the last decades, due to their outstanding properties of ultra-high strength and low Young’s modulus. These properties play a significant role in many aerospace and biomedical applications.
Sangqi Xiong +7 more
openalex +4 more sources