Neural dynamics for mobile robot adaptive control
Autonome mobile Systeme müssen in der Lage sein, sich in ihre Einsatzumgebung autonom zu bewegen und dabei zu wissen, auf welchen Wegen sie sicher an bestimmte Zielpunkte gelangen. Ziel dieser Arbeit ist die Entwicklung eines Ansatzes, der mittels recurrent neuronaler Netze genaue und sichere zielgerichtete Bewegungen ermöglicht und dabei die ...
openaire +3 more sources
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Online event-triggered switching load frequency control of islanded microgrids through machine learning. [PDF]
Omeje OU +4 more
europepmc +1 more source
Shaping Matter with Acoustic Waves: From Particles to Functional Structures
Acoustic‐directed assembly is reviewed as a materials‐oriented strategy for organizing particles, polymers, metals, and biological systems into functional structures. The review distinguishes reversible manipulation from permanent structure formation through medium fixation, particle fixation, and in situ material generation, highlighting routes toward
Avraham Kenigsberg +5 more
wiley +1 more source
Direct robust adaptive tracking control of electric vehicles based on radial basis function neural networks. [PDF]
Xiao X, Fang X.
europepmc +1 more source
Synthesis of AgBiS2 and AgInS2 Based on Formation Energies in Sulfur‐Rich Reducing Flame
High‐surface‐area AgInS2 and AgBiS2 nanoparticles were synthesized via enclosed flame spray pyrolysis by tuning flame conditions and formation energies to guide phase formation. Flame parameters were tuned to suppress oxides and enable pure sulfide phase growth.
Muhammad Ali Martuza +7 more
wiley +1 more source
ADAPTIVE CONTROL OF CHEMICAL REACTOR USING NEURAL NETWORKS [PDF]
H Abdelfattah, F Areed
doaj +1 more source
Barrier Lyapunov function-based robust adaptive neural network control with dynamically adjusted activation functions for Euler-Lagrange systems under position constraints. [PDF]
Yilmaz BM.
europepmc +1 more source

