Browsing by Author "Cao, Yi"

Browsing by Author "Cao, Yi"

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  • A kernel design approach to improve kernel subspace identification 
    Salgado Pilario, Karl Ezra; Cao, Yi; Shafiee, Mahmood (IEEE, 2020-05-27)
    Subspace identification methods, such as canonical variate analysis (CVA), are non-iterative tools suitable for the state-space modelling of multi-input, multi-output (MIMO) processes, e.g. industrial processes, using ...
  • Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes 
    Pilario, Karl Ezra; Cao, Yi; Shafiee, Mahmood (Elsevier, 2018-12-25)
    Incipient fault monitoring is becoming very important in large industrial plants, as the early detection of incipient faults can help avoid major plant failures. Recently, Canonical Variate Dissimilarity Analysis (CVDA) ...
  • Multi-layer contribution propagation analysis for fault diagnosis 
    Tan, Ruomu; Cao, Yi (Springer, 2018-09-27)
    The recent development of feature extraction algorithms with multiple layers in machine learning and pattern recognition has inspired many applications in multivariate statistical process monitoring. In this work, two ...
  • Multiobjective Optimisation of Restricted Complexity Controllers 
    Cao, Yi; Yan, Wenjun (Lavoisier, 2003-01-01)
    Restricted complexity controller design for the active suspension benchmark problem call for papers EJC special issue on Design and Optimisation of Restricted Complexity Controllers. Web site http:/www-ejc.ensieg. inpg.fr/, ...
  • Multiobjective process controllability analysis 
    Cao, Yi; Yang, Zhijia (Elsevier Science B.V., Amsterdam., 2004-01-15)
    A new approach for process controllability analysis by using multiobjective optimisation techniques is proposed. Within the approach, a set of performance specifications, such as minimum control error and input effort with ...
  • Multiphase flow instability and active slug control solutions 
    Tandoh, Henry Kwaw Ayisi (2018-03)
    Slugging as a flow assurance challenge is an upsetting condition to the oil and gas industry due to the instabilities it poses on the system. The negative repercussions associated with slug flow stems from the inlet through ...
  • Multiphase severe slug flow control 
    Ogazi, Anayo Isaac (Cranfield University, 2011-01)
    Severe slug flow is one of the most undesired multiphase flow regimes, due to the associated instability, which imposes major challenges to flow assurance in the oil and gas industry. This thesis presents a comprehensive ...
  • Networked control systems and wireless sensor networks: theories and applications. 
    Yang, Shuang-Hua; Cao, Yi (Taylor & Francis, 2008-11-01)
    Abstract This special issue aims to provide innovative research work that has recently been carried out in networked control and wireless sensor networks, including both theoretical developments, experimental and/or ...
  • Neural predictive control of broiler chicken and pig growth 
    Demmers, Theo G. M.; Cao, Yi; Gauss, Sophie; Lowe, John C.; Parsons, David J.; Wathes, Christopher M. (Elsevier, 2018-07-20)
    Active control of the growth of broiler chickens and pigs has potential benefits for farmers in terms of improved production efficiency, as well as for animal welfare in terms of improved leg health in broiler chickens. ...
  • Neural predictive control of broiler chicken growth 
    Demmers, Theo G. M.; Cao, Yi; Gauss, Sophie; Lowe, John C.; Parsons, David J.; Wathes, Christopher M. (Elsevier, 2010-12-31)
    Active control of the growth of broiler chickens has potential benefits for farmers in terms of improved production efficiency, as well as for animal welfare in terms of improved leg health. In this work, a differential ...
  • Nonlinear Dynamic Process Monitoring Using Canonical Variate Analysis and Kernel Density Estimations 
    Odiowei, P. P.; Cao, Yi (IEEE, 2010-02-05)
    The Principal Component Analysis (PCA) and the Partial Least Squares (PLS) are two commonly used techniques for process monitoring. Both PCA and PLS assume that the data to be analysed are not self-correlated i.e. ...
  • Nonlinear dynamic process monitoring using kernel methods 
    Samuel, Raphael Tari (Cranfield University, 2016-08)
    The application of kernel methods in process monitoring is well established. How- ever, there is need to extend existing techniques using novel implementation strate- gies in order to improve process monitoring performance. ...
  • Nonlinear model predictive control for the ALSTOM gasifier. 
    Al Seyab, Rihab Khalid Shakir; Cao, Yi (Elsevier Science B.V., Amsterdam., 2006-09-01)
    In this work a nonlinear model predictive control based on Wiener model has been developed and used to control the ALSTOM gasifier. The 0% load condition was identified as the most difficult case to control among three ...
  • Nonlinear model predictive control using automatic differentiation 
    Al Seyab, Rihab Khalid Shakir (Cranfield University, 2006)
    Although nonlinear model predictive control (NMPC) might be the best choice for a nonlinear plant, it is still not widely used. This is mainly due to the computational burden associated with solving online a set of ...
  • Nonlinear process fault detection and identification using kernel PCA and kernel density estimation 
    Samuel, Raphael; Cao, Yi (Taylor & Francis, 2016-08-28)
    Kernel principal component analysis (KPCA) is an effective and efficient technique for monitoring nonlinear processes. However, associating it with upper control limits (UCLs) based on the Gaussian distribution can deteriorate ...
  • Nonlinear system identification for predictive control using continuous time recurrent neural networks and automatic differentiation. 
    Al Seyab, Rihab Khalid Shakir; Cao, Yi (Elsevier Science B.V., Amsterdam., 2008-07-01)
    In this paper, a continuous time recurrent neural network (CTRNN) is developed to be used in nonlinear model predictive control (NMPC) context. The neural network represented in a general nonlinear state-space form is ...
  • Optimal Design and Operation of Heat Exchanger Network 
    Salihu, Adamu Girei (Cranfield University, 2015-08)
    Heat exchanger networks (HENs) are the backbone of heat integration due to their ability in energy and environmental managements. This thesis deals with two issues on HENs. The first concerns with designing of economically ...
  • Optimization of petroleum reservoir waterflooding using receding horizon approach 
    Grema, Alhaji Shehu; Cao, Yi (IEEE, 2013-07-25)
    In this paper, static and dynamic optimization of a reservoir waterflooding process for enhanced oil recovery was studied. The dynamic optimization was achieved using receding horizon (RH) algorithms. Two forms of RH which ...
  • Optimization of Reservoir Waterflooding 
    Grema, Alhaji Shehu (Cranfield University, 2014-10)
    Waterflooding is a common type of oil recovery techniques where water is pumped into the reservoir for increased productivity. Reservoir states change with time, as such, different injection and production settings will ...
  • Petroleum refinery scheduling with consideration for uncertainty 
    Hamisu, Aminu Alhaji (Cranfield University, 2015-07)
    Scheduling refinery operation promises a big cut in logistics cost, maximizes efficiency, organizes allocation of material and resources, and ensures that production meets targets set by planning team. Obtaining accurate ...