Results 21 to 30 of about 6,421,352 (290)
"Intelligent" controllers on cheap and small programmable devices [PDF]
It is shown that the "intelligent" controllers which are associated to the recently introduced model-free control synthesis may be easily implemented on cheap and small programmable devices.
Chaxel, Frédéric +2 more
core +3 more sources
Anti-epileptic effect of Ganoderma lucidum polysaccharides by inhibition of intracellular calcium accumulation and stimulation of expression of CaMKII a in epileptic hippocampal neurons [PDF]
Purpose: To investigate the mechanism of the anti-epileptic effect of Ganoderma lucidum polysaccharides (GLP), the changes of intracellular calcium and CaMK II a expression in a model of epileptic neurons were investigated.
A Hudmon +57 more
core +3 more sources
Iterative Feedback Tuning of Model-Free Intelligent PID Controllers
In the last decades, model-free control (MFC) has become an alternative for complex processes whose models are not available or are difficult to obtain.
Andrei Baciu, Corneliu Lazar
doaj +1 more source
Multi-Agent Optimal Control for Central Chiller Plants Using Reinforcement Learning and Game Theory
To conserve building energy, optimal operation of a building’s energy systems, especially heating, ventilation and air-conditioning (HVAC) systems, is important.
Shunian Qiu +4 more
doaj +1 more source
Model-Free Gradient-Based Adaptive Learning Controller for an Unmanned Flexible Wing Aircraft
Classical gradient-based approximate dynamic programming approaches provide reliable and fast solution platforms for various optimal control problems. However, their dependence on accurate modeling approaches poses a major concern, where the efficiency ...
Mohammed Abouheaf +2 more
doaj +1 more source
Optimal Model-Free Finite-Time Control Based on Terminal Sliding Mode for a Coaxial Rotor
This study focuses on addressing the tracking control problem for a coaxial unmanned aerial vehicle (UAV) without any prior knowledge of its dynamic model.
Hossam Eddine Glida +2 more
doaj +1 more source
In this paper, an adaptive neural network global fractional order fast terminal sliding mode model-free intelligent PID control strategy (termed as TDE-ANNGFOFTSMC-MFIPIDC) is proposed for the hypersonic vehicle ground thermal environment simulation test
Xiaodong Lv +5 more
doaj +1 more source
In this study, a novel Multivariable Adaptive Neural Network Controller (MANNC) is developed for coupled model-free n-input n-output systems. The learning algorithm of the proposed controller does not rely on the model of a system and uses only the ...
Arash Mehrafrooz +2 more
doaj +1 more source
State of the art deep reinforcement learning algorithms take many millions of interactions to attain human-level performance. Humans, on the other hand, can very quickly exploit highly rewarding nuances of an environment upon first discovery. In the brain, such rapid learning is thought to depend on the hippocampus and its capacity for episodic memory.
Blundell, Charles +8 more
openaire +2 more sources
Given the challenges associated with accurately modeling complex nonlinear systems with time delays in industrial processes, this paper introduces an advanced model-free control algorithm that combines data-driven and model-driven approaches.
Ziwei Guo, Huogen Yang
doaj +1 more source

