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Improvement and Simulation of PID Model Predictive Control Algorithm Based on Time Domain
In the model predictive control scheme, the PID cascade control structure is introduced. By using conventional PID control at the bottom, the... -
Attitude and Altitude Control of Quadrotor MAV using FOPID Controller
This paper presents the implementation of a Fractional Order Proportional-Integral-Derivative (FOPID) controller for attitude and altitude... -
Cloud-connected central unit for traffic control: interfacing sensing units and centralized control for efficient traffic management
Efficient traffic management is crucial for ensuring smooth transportation systems and minimizing congestion on roadways. This research paper...
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Optimal Control of Double Pendulum Crane Using FOPID and Genetic Algorithm
Gantry cranes are commonly utilized to transfer huge loads in construction projects as well as essential sectors such as petrochemical and nuclear... -
A composite neural network-based adaptive sliding mode control method for reluctance actuator maglev system
To achieve high levitation control performances for a maglev system (MLS) with the uncertainties caused by the inherent nonlinearities and external...
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Demand Response Analysis and Its Application to Smart Grids: A Evolutionary Game Method
Demand response (DR), as an effective strategy for power system load management in smart grids, provides a solution for efficient energy utilization... -
Multi-agent reinforcement learning for fast-timescale demand response of residential loads
To integrate high amounts of renewable energy resources, electrical power grids must be able to cope with high amplitude, fast timescale variations...
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Sliding mode control of vehicle hydraulic travelling system based on exponential convergent disturbance observer
This paper takes the motor drive travelling system of vehicles as research object. Addressing the disturbance derived from complex pavement and...
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User Interaction and Response-Based Knowledge Discovery Framework
The World Economic Forum in Davos in 2022 raised the issue of knowledge by describing the situation as follows: “It could be that we are drowning in... -
Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Resting-state fMRI (rs-fMRI) functional connectivity (FC) analysis provides valuable insights into the relationships between different brain regions... -
Scalable Learning of Intrusion Response Through Recursive Decomposition
We study automated intrusion response for an IT infrastructure and formulate the interaction between an attacker and a defender as a partially... -
Modelling Seismic Performance of Reinforced Concrete Buildings Within Response Spectrum Framework
This paper deals with the modelling and analysis of reinforced concrete buildings for seismic performance within the response spectrum framework... -
A task allocation schema based on response time optimization in cloud computing
Task scheduling is the core research content of cloud computing. It studies how to allocate tasks between computing nodes, so that tasks are evenly...
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Frequency stability of new energy power systems based on VSG adaptive energy storage coordinated control strategy
A self-adaptive energy storage coordination control strategy based on virtual synchronous machine technology was studied and designed to address the...
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Mixed Synchronous/Asynchronous Control Structures
This Chapter investigates some paradigms of MIXED SYNCHRONOUS/ASYNCHRONOUS COMPUTATIONS: bulk synchronous parallel and streaming control at various... -
Research on Course Control Algorithm of Unmanned Craft Based on Model Predictive Control
Course control is one of the key technologies for autonomous navigation of surface unmanned ship. In order to realize course control of surface... -
Risk and Control Assurance Framework for Emergency Management Projects
It has been suggested that the phases of Emergency Management align well with standard project management stages. In this sense, the EM projects have... -
Motion Control of Supersonic Passenger Aircraft Using Machine Learning Methods
Abstract—Motion control of modern and advanced aircraft has to be provided under conditions of incomplete and inaccurate knowledge of their...
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A new control problem? Humanoid robots, artificial intelligence, and the value of control
The control problem related to robots and AI usually discussed is that we might lose control over advanced technologies. When authors like Nick...
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Research on a Fuzzy Adaptive PID Control Method for Four Rotor UAV Control System
Research on A Fuzzy Adaptive PID Control Method for Four Rotor UAV Control System With the continuous improvement of national living standards,...