Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system

QR Code

Design of low order quantitative feedback theory and H-infinity-based controllers using particle swarm optimisation for a pneumatic actuator system

The quantitative feedback theory (QFT) and are the two most popular, well defined and powerful robust control techniques. These techniques are used to achieve high performance of the system in the presence of system uncertainties and disturbances. This work is concerned with the design of simplified...

Full description

Bibliographic Details
Main Author:	Ali, Hazem I.
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Feedback control systems Swarm intelligence Mathematical optimization
Online Access:	http://psasir.upm.edu.my/id/eprint/40930/ http://psasir.upm.edu.my/id/eprint/40930/1/FK%202010%2054R.pdf

Similar Items

Optimizing physicochemical properties of recycled cooking palm oil using particle swarm optimization
by: Jalo, Abdulmumini Salihu
Published: (2016)

Energy-efficient routing algorithms based on swarm intelligence for wireless sensor networks
by: Adamu, Murtala Zungeru
Published: (2013)

Improved dynamic lexicographic ordering for multi-objective optimisation
by: Castro-Gutierrez, Juan, et al.
Published: (2010)

Simulation Platform for the Evaluation of Robotic Swarm Algorithms
by: Ortega-Sanchez, Cesar, et al.
Published: (2010)

Permutation flow shop scheduling: fuzzy particle swarm optimization approach
by: Ling, S., et al.
Published: (2011)

Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
by: Mohammed, Zahraa Abdulkareem
Published: (2017)

Particle swarm optimization technique of current tracking controller for electric power-assisted steering system
by: Bahmanshiri, Adel Amiri
Published: (2015)

Multichannel filters for speech recognition using a particle swarm optimization
by: Chan, Kit Yan, et al.
Published: (2012)

Enhancement of speech recognitions for control automation using an intelligent particle swarm optimization
by: Chan, Kit Yan, et al.
Published: (2012)

Particle swarm optimization for the Steiner tree in graph and delay-constrained multicast routing problems
by: Qu, Rong, et al.
Published: (2013)

Polynomial modeling for time-varying systems based on a particle swarm optimization algorithm
by: Chan, Kit Yan, et al.
Published: (2011)

Structural Damage Detection Using Finite Element Model Updating Using Particle Swarm Optimization with Noisy Modal Data
by: Malekzehtab, Hassan, et al.
Published: (2012)

Hybrid fuzzy logic-based particle swarm optimization for flow shop scheduling problem
by: Ling, S., et al.
Published: (2011)

Intelligent Fuzzy Particle Swarm Optimization with Cross-Mutated Operation
by: Ling, S., et al.
Published: (2012)

Polynomial modeling in dynamic environment based on a particle swarm optimization
by: Chan, Kit Yan, et al.
Published: (2012)

Feedback after summative OSCEs: optimising delivery and engagement
by: Soe, Myo Min
Published: (2020)

Palm tree detection in UAV images: a hybrid approach based on multimodal particle swarm optimisation
by: Chen, Zi Yan
Published: (2022)

Modeling of a liquid epoxy molding process using a particle swarm optimization based fuzzy regression approach
by: Chan, Kit Yan, et al.
Published: (2011)

Detecting change and dealing with uncertainty in imperfect evolutionary environments
by: Mujtaba, Hasan, et al.
Published: (2015)

Application of Finite-Element Model Updating in Damage Detection of Offshore Jacket Platforms using Particle Swarm Optimization with Noisy Modal Data
by: Malekzehtab, Hassan, et al.
Published: (2012)

Optimal feedback control for dynamic systems with state constraints: An exact penalty approach
by: Lin, Qun, et al.
Published: (2014)

Nanoessence: God, the first nano assembler
by: Thomas, Paul
Published: (2008)

Need for effective feedback within an organisation
by: Gulati, Aashish
Published: (2022)

'Take away from the dry sixties style marking': lecturer and student perceptions and experiences of audio feedback
by: Pick, David, et al.
Published: (2011)

An intelligent swarm based-wavelet neural network for affective mobile phone design
by: Ling, S., et al.
Published: (2014)

Strangers in the swarm
by: Kent, Michael
Published: (2012)

When immediate interactive feedback boosts optimization problem solving: a ‘human-in-the-loop’ approach for solving capacitated vehicle routing problems
by: Kefalidou, Genovefa
Published: (2017)

Assessor efficiency and effectiveness using marking and feedback support systems
by: Wood, Lincoln
Published: (2012)

Efficient beamforming and spectral efficiency maximization in a joint transmission system using an adaptive particle swarm optimization algorithm
by: Faisal, Ali Raed, et al.
Published: (2016)

Output feedback control of flow separation over an aerofoil using plasma actuators
by: Broglia, R., et al.
Published: (2018)

New Insights into Optimal Acoustic Feedback Cancellation
by: Nakagawa, C. Renato C., et al.
Published: (2013)

A intelligent particle swarm optimization for short-term traffic flow forecasting using on-road sensor systems
by: Chan, Kit Yan, et al.
Published: (2013)

A review of pneumatic actuators (modeling and control)
by: Ali, Hazem Ibrahim, et al.
Published: (2009)

Students' Attitudes towards Computer-Mediated Audio Feedback
by: Giridharan, Beena, et al.
Published: (2013)

Student’s Feedback based Blended Teaching Approach for Effective Learning
by: Anwar, Faisal
Published: (2011)

Prediction of Short-term Traffic Variables using Intelligent Swarm-based Neural Networks
by: Chan, Kit, et al.
Published: (2012)

Closed-loop feedback cancellation utilizing two microphones and transform domain processing
by: Renato, C., et al.
Published: (2014)

Perceptions of audio feedback in higher education assessment
by: Broadley, Tania, et al.
Published: (2011)

Feedback on feedback: does it work?
by: Speicher, Oranna, et al.
Published: (2015)

Image Deblurring using a Hybrid Optimization Algorithm
by: Chan, Kit Yan, et al.
Published: (2014)