Results 51 to 60 of about 3,067,533 (204)
Tensor‐Based Reduction of Linear Parameter‐Varying State‐Space Models
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT The linear parameter‐varying (LPV) framework is a powerful tool for controlling nonlinear (NL) and complex systems, but the conversion of NL models into LPV forms often results in high‐dimensional and overly conservative LPV models. To be able to apply control strategies, there is often a need for model reduction in order to reduce ...
Bogoljub Terzin +4 more
wiley +1 more source
A generalization of multiple Wright-convex functions via randomization
Journal of Mathematical Analysis and Applications, 2012 The author considers a general class of nonnegative real functions, which are generalizations of \(n\)-Wright-convex functions introduced by \textit{A. Gilányi} and \textit{Zs. Páles} [Math. Inequal. Appl. 11, No. 2, 271--282 (2008; Zbl 1141.26304)], and studied also by \textit{Gy. Maksa} and \textit{Zs. Páles} [J. Math. Anal. Appl. 359, No.
openaire +2 more sources
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
Journal of Field Robotics, EarlyView.ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley +1 more source
Hermite-Hadamard type inequalities for exponential type multiplicatively convex functions
Filomat, 2023 In this paper, we defined and studied the concept of exponential type multiplicatively convex functions and some of their algebraic properties. We derived Hermite-Hadamard inequalities for this class of functions. We also established new Hermite-Hadamard type inequalities for the product and quotient of exponential type multiplicatively ...
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A Bayesian Spatial Disaggregation Approach for Fine‐Scale Mapping of Water Access Disparities
Sustainable Development, EarlyView.ABSTRACT Access to clean water remains a critical challenge for achieving Sustainable Development Goal 6: Clean Water and Sanitation. While national statistics agencies report water access at coarse municipal scales, this data obscure critical hotspots where vulnerable populations lack essential services.
Ivan Lizarazo +2 more
wiley +1 more source
Reverse engineering strut‐and‐tie models for assessing reinforced concrete structures
Structural Concrete, EarlyView.Abstract Strut‐and‐tie models enable the design of reinforced concrete structures with static or geometrical discontinuities, providing interpretability and control over the load path. These models are valuable for designing discontinuity regions of new structures and for validating nonlinear finite‐element analysis results. However, developing a strut‐
Karin Yu, Walter Kaufmann
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Wildlife Letters, EarlyView.Using radiotelemetry, we found that the movement and home range of the endangered Sacalia bealei varied significantly across reproductive classes and seasons, with males exhibiting greater movement than females during wet and mating seasons. The species exhibits strong aquatic dependence, favoring deep pools interspaced among riffle‐pool sequences ...
Wing Sing Chan +3 more
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
CAAI Transactions on Intelligence Technology, EarlyView.Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li +3 more
wiley +1 more source