A5102830303- Control Systems and Identification
- Fault Detection and Control Systems
- Structural Health Monitoring Techniques
- Neural Networks and Applications
- Advanced Control Systems Optimization
- Sensor Technology and Measurement Systems
- Optimal Power Flow Distribution
- Analytical Chemistry and Chromatography
- Smart Grid Energy Management
- Advanced Electrical Measurement Techniques
- Electric Power System Optimization
- Blind Source Separation Techniques
- Power System Optimization and Stability
- Probabilistic and Robust Engineering Design
- Monoclonal and Polyclonal Antibodies Research
- Cancer therapeutics and mechanisms
- Scientific Measurement and Uncertainty Evaluation
- Analog and Mixed-Signal Circuit Design
- Advanced Chemical Sensor Technologies
- HVDC Systems and Fault Protection
- Gene Regulatory Network Analysis
- Machine Fault Diagnosis Techniques
- Antibiotics Pharmacokinetics and Efficacy
- Non-Invasive Vital Sign Monitoring
- Computational Drug Discovery Methods
MRC Lifecourse Epidemiology Unit
2022-2025
University of Southampton
2020-2025
NIHR Southampton Biomedical Research Centre
2024-2025
University Hospital Southampton NHS Foundation Trust
2022-2025
National Institute for Health Research
2022-2024
Medical Research Council
2022-2024
National Health Service
2022-2024
University of Warwick
2010-2019
University of Alberta
2019
The University of Western Australia
1990-2013
A novel method using particle swarm optimisation (PSO) is proposed for optimising parameters of controllers a wind turbine (WT) with doubly fed induction generator (DFIG). The PSO algorithm employed in the parameter tuning to search optimal and achieve coordinated control multiple WT system. implementation controllers' described detail. In analysis, generic dynamic model DFIG its associated presented, small signal stability derived; based on this, an eigenvalue-based objective function...
A frequency domain procedure is proposed for the automatic tuning of proportional integral derivative (PID) controllers. The nonparametric open-loop response function estimated online (in closed loop), and simple discriminatory parameters are obtained, which enable appropriate controller. For processes with some prior knowledge dynamics, method removes need relay or step testing. If there little no process testing can be used initially, then being subsequent tuning. As part paper, a...
Pseudorandom signals have been widely used for system identification. Maximum length binary (MLB) are the best known class of pseudorandom signals, because their ease generation using feedback shift registers, but it is less well that there several other classes and near-binary with identical, or nearly identical properties. An overview these given, design a new MATLAB routine incorporating all described. The importance choice MLB signal to use in particular applications illustrated...
The extension of the input/output-crosscorrelation method system dynamic identification, using a pseudorandom input signal, to multi-input/multioutput systems is considered. impulse responses may be obtained directly from measured crosscorrelation functions (in similar manner single-input/single-output case), provided that system-input signals have autocorrelation delta-function form and are uncorrelated with each other, it found not possible meet both these requirements without resorting...
The theory of the time domain relationship between input and output a linear process is presented, mathematical relationships are explained clarified by graphical illustration. correlation method dynamic analysis similarly presented. Special reference made to use pseudo-random binary signals as perturbation signals, design procedure for crosscorrelation experiments with signal given. Tables listing so far reported in literature included, applications industries nuclear power systems considered.
The aim of this article is to give a tutorial overview frequency response function (FRF) or impulse (IR) measurements linear dynamic systems. These nonparametric system identification methods provide first view on the dynamics system. As discussed in "Summary," discusses three main points. replaces classic FRF measurement techniques based spectral analysis with more advanced, recently developed algorithms. User guidelines will be given select best among these according four specific user...
Abstract The relationships between fat mass (FM), lean (LM), and bone are complex with significant implications for obesity, sarcopenia, osteoporosis later in life. While greater LM is associated higher mineral density (BMD), the association FM BMD less clear. Such warrant further investigation especially Asians who have risk of metabolic diseases osteoporotic fractures compared to Western populations. This study investigated associations LM, modifiable factors Asian women aged 18-45 yr. 191...
Perturbation signals for linear system identification in the frequency domain are considered. The fundamental requirement is a low-amplitude signal with as much power possible contained specified harmonics. For purposes of comparison, two new measures quality developed. first relates harmonics to amplitude signal. second least any harmonic average It seen that perturbation design compromise between these measures. Two classes examined, each containing several different types. In class...
Those properties of 3-level m sequences which are likely to prove useful in the crosscorrelation method system dynamic analysis listed. The use sequence signals identification nonlinear systems is discussed, and it shown that number experiments required determine impulse response linear channel a with an amplitude nonlinearity reduced by these signals.
The linear supply function equilibrium (SFE) model can be used to investigate bid-based electricity pool markets. Several studies assume that the market players construct optimal strategic bids by parameterizing marginal cost of their generating units. Four different types parameterization are possible, for which slope and/or intercept functions varied. This paper reviews existing literature and proposes a primal-dual nonlinear interior point algorithm solve bi-level problem with AC network...