A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
Geospatial big data handling theory and methods: A review and research challenges
Big data has now become a strong focus of global interest that is increasingly attracting the
attention of academia, industry, government and other organizations. Big data can be …
attention of academia, industry, government and other organizations. Big data can be …
Nonlinear system identification: A user-oriented road map
J Schoukens, L Ljung - IEEE Control Systems Magazine, 2019 - ieeexplore.ieee.org
Nonlinear system identification is an extremely broad topic, since every system that is not
linear is nonlinear. That makes it impossible to give a full overview of all aspects of the fi eld …
linear is nonlinear. That makes it impossible to give a full overview of all aspects of the fi eld …
System identification
L Ljung - Signal analysis and prediction, 1998 - Springer
In this contribution we give an overview and discussion of the basic steps of System
Identification. The four main ingredients of the process that takes us from observed data to a …
Identification. The four main ingredients of the process that takes us from observed data to a …
Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniques
The rising water pollution from anthropogenic factors motivates further research in
developing water quality predicting models. The available models have certain limitations …
developing water quality predicting models. The available models have certain limitations …
[图书][B] Fuzzy control
KM Passino, S Yurkovich, M Reinfrank - 1998 - a-lab.ee
Fuzzy control is a practical alternative for a variety of challenging control applications since it
provides a convenient method for constructing nonlinear controllers via the use of heuristic …
provides a convenient method for constructing nonlinear controllers via the use of heuristic …
Nonlinear black-box modeling in system identification: a unified overview
A nonlinear black-box structure for a dynamical system is a model structure that is prepared
to describe virtually any nonlinear dynamics. There has been considerable recent interest in …
to describe virtually any nonlinear dynamics. There has been considerable recent interest in …
Past, present and future of nonlinear system identification in structural dynamics
This survey paper contains a review of the past and recent developments in system
identification of nonlinear dynamical structures. The objective is to present some of the …
identification of nonlinear dynamical structures. The objective is to present some of the …
[图书][B] The Control Handbook (three volume set)
WS Levine - 2018 - taylorfrancis.com
At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …
engineers working with modern control systems required. Among its many accolades, that …
[图书][B] Soft sensors for monitoring and control of industrial processes
Soft Sensors for Monitoring and Control of Industrial Processes | SpringerLink Skip to main
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