An overview on fault diagnosis and nature-inspired optimal control of industrial process applications
Fault detection, isolation and optimal control have long been applied to industry. These
techniques have proven various successful theoretical results and industrial applications …
techniques have proven various successful theoretical results and industrial applications …
Data-driven model-free slip control of anti-lock braking systems using reinforcement Q-learning
This paper proposes the design and implementation of a model-free tire slip control for a fast
and highly nonlinear Anti-lock Braking System (ABS). A reinforcement Q-learning optimal …
and highly nonlinear Anti-lock Braking System (ABS). A reinforcement Q-learning optimal …
Nonlinear predictive control of a boiler-turbine unit: A state-space approach with successive on-line model linearisation and quadratic optimisation
M Ławryńczuk - ISA transactions, 2017 - Elsevier
This paper details development of a Model Predictive Control (MPC) algorithm for a boiler-
turbine unit, which is a nonlinear multiple-input multiple-output process. The control …
turbine unit, which is a nonlinear multiple-input multiple-output process. The control …
Output feedback adaptive motion control and its experimental verification for time-delay nonlinear systems with asymmetric hysteresis
Focusing on the nonlinear time-delay systems actuated by smart-material-based actuators,
an adaptive dynamic surface estimated inverse motion control scheme is proposed in this …
an adaptive dynamic surface estimated inverse motion control scheme is proposed in this …
MPC approaches for modulating air-to-water heat pumps in radiant-floor buildings
A modulating heat pump and water tank result in a nonlinear model due to the load
dependency of the heat pump performance, and variable water flows. Nonlinear model …
dependency of the heat pump performance, and variable water flows. Nonlinear model …
Novel tensor product models for automatic transmission system control
This paper discusses novel tensor product (TP) models for the control of two complex
components of the vehicle automatic transmission systems, namely the drive line without …
components of the vehicle automatic transmission systems, namely the drive line without …
Experiment-based teaching in advanced control engineering
This paper discusses an experiment-based approach to teaching an advanced control
engineering syllabus involving controlled plant analysis and modeling, control structures …
engineering syllabus involving controlled plant analysis and modeling, control structures …
Energy-efficient fuzzy model-based multivariable predictive control of a HVAC system
A Preglej, J Rehrl, D Schwingshackl, I Steiner… - Energy and …, 2014 - Elsevier
In this paper the novel approach of a fuzzy model-based multivariable predictive functional
control (FMBMPC) of a heating ventilating and air conditioning (HVAC) system is presented …
control (FMBMPC) of a heating ventilating and air conditioning (HVAC) system is presented …
Efficient robust fuzzy model predictive control of discrete nonlinear time-delay systems via Razumikhin approach
In this paper, two efficient robust fuzzy model predictive control algorithms are investigated
for discrete nonlinear systems with multiple time delays and bounded disturbances. The …
for discrete nonlinear systems with multiple time delays and bounded disturbances. The …
Application of IFT and SPSA to servo system control
This paper treats the application of two data-based model-free gradient-based stochastic
optimization techniques, ie, iterative feedback tuning (IFT) and simultaneous perturbation …
optimization techniques, ie, iterative feedback tuning (IFT) and simultaneous perturbation …