Results 71 to 80 of about 816,103 (361)
This paper considers the stability of high-order PID-type iterative learning control law for a class of nonlinear switched systems with state delays and arbitrary switched rules, which perform a given task repeatedly.
Xuhui Bu +3 more
doaj +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
An upper-limb stroke rehabilitation system is developed that assists patients in performing real world functionally relevant reaching tasks. The system provides de-weighting of the arm via a simple spring support whilst functional electrical stimulation ...
Timothy Exell +15 more
core +1 more source
Design of a New Excitation Controller of Synchronous Generator
In view of the problem that initial control signal is defined by experience in traditional excitation controller of synchronous generator based on iterative learning control algorithm, the paper proposed a design scheme of excitation controller of ...
HAO Xiao-hong, SHI Zhen-lei, ZHANG Ping
doaj
Iterative learning control for performance optimisation [PDF]
Iterative learning control (ILC) is a popular design methodology to achieve high performance trajectory tracking of systems operating in a repetitive manner. This paper further extends the applicability of ILC by showing that ILC can solve a more general problem of optimising some system performance for which trajectory tracking is just a special case.
openaire +2 more sources
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Background: Novel stroke rehabilitation techniques that employ electrical stimulation (ES) and robotic technologies are effective in reducing upper limb impairments.
Cai, Z +13 more
core +1 more source
Learning-Gain-Adaptive Iterative Learning Control to Linear Discrete-Time-Invariant Systems
For a class of repetitive linear discrete-time-invariant systems with the unit relative degree, a learning-gain-adaptive iterative learning control (LGAILC) mechanism is exploited, for which the iteration-wise performance index is to maximize the ...
Xiaohui Li, Xiaoe Ruan, Yan Liu
doaj +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
As a typical smart structure, the piezoelectric actuator (PEA) is an essential constituent component in piezoelectric-driven positioning stages. Nevertheless, the positioning precision is severely degraded by its innate rate-dependent hysteretic ...
Deqing Huang +3 more
semanticscholar +1 more source

