Results 61 to 70 of about 786,949 (131)

Design performance of lead and lag compensator using OPAMP and root locus approach through simulation tool

open access: yesITEGAM-JETIA, 2020
The design objective behind lead and lag compensator is to meet the relative stability as well as to meet desired performance. Both in time domain or frequency domain, the compensator design can be carried out.
Badri Narayan Mohapatra, Jijnyasa Joshi
doaj   +1 more source

H∞ Consensus Design and Online Scheduling for Multiagent Systems with Switching Topologies via Deep Reinforcement Learning

open access: yesInternational Journal of Aerospace Engineering, 2022
This paper is devoted to H∞ consensus design and online scheduling for homogeneous multiagent systems (MASs) with switching topologies via deep reinforcement learning.
Haoyu Cheng   +4 more
doaj   +1 more source

Learning Transformed Dynamics for Efficient Control Purposes

open access: yesMathematics
Learning linear and nonlinear dynamical systems from available data is a timely topic in scientific machine learning. Learning must be performed while enforcing the numerical stability of the learned model, the existing knowledge within an informed or ...
Chady Ghnatios   +4 more
doaj   +1 more source

Fine-Tuning Quadcopter Control Parameters via Deep Actor-Critic Learning Framework: An Exploration of Nonlinear Stability Analysis and Intelligent Gain Tuning

open access: yesIEEE Access
Quadcopters have underactuated, nonlinear, and coupled dynamics, making their control a challenging endeavor. However, PID controllers have exhibited remarkable performance for such systems in a variety of circumstances, including obstacle avoidance ...
Hassan Moin   +3 more
doaj   +1 more source

The Cavity Approach to Noisy Learning in Nonlinear Perceptrons

open access: yes, 2001
We analyze the learning of noisy teacher-generated examples by nonlinear and differentiable student perceptrons using the cavity method. The generic activation of an example is a function of the cavity activation of the example, which is its activation ...
Luo, Peixun, Wong, K. Y. Michael
core   +1 more source

Method of Motion Planning for Digital Twin Navigation and Cutting of Shearer

open access: yesSensors
To further enhance the intelligence level of coal mining faces and achieve the autonomous derivation, learning, and optimization of shearer navigation cutting, this paper proposes the methods of shearer digital twin navigation cutting motion planning ...
Bing Miao   +3 more
doaj   +1 more source

Game Theory-Inspired Evolutionary Algorithm for Global Optimization

open access: yesAlgorithms, 2017
Many approaches that model specific intelligent behaviors perform excellently in solving complex optimization problems. Game theory is widely recognized as an important tool in many fields.
Guanci Yang
doaj   +1 more source

The stability of macroeconomic systems with Bayesian learners [PDF]

open access: yes
We study abstract macroeconomic systems in which expectations play an important role. Consistent with the recent literature on recursive learning and expectations, we replace the agents in the economy with econometricians.
Jacek Suda, James B. Bullard
core  

Optimal Control Based on Reinforcement Learning for Flexible High-Rise Buildings with Time-Varying Actuator Failures and Asymmetric State Constraints

open access: yesBuildings
This study centers on the vibration suppression of high-rise building systems under extreme conditions, exploring a reinforcement learning (RL)-based vibration control strategy for flexible building systems with time-varying faults and asymmetric state ...
Min Li, Rui Xie
doaj   +1 more source

Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks

open access: yesInternational Journal of Aerospace Engineering, 2017
A learning control strategy is preferred for the control and guidance of a fixed-wing unmanned aerial vehicle to deal with lack of modeling and flight uncertainties.
Erdal Kayacan   +3 more
doaj   +1 more source

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