Multi-objective optimal control: An overview

A Gambier, E Badreddin - 2007 IEEE international conference …, 2007 - ieeexplore.ieee.org
Optimization techniques have been a crucial tool for designing control systems and for
tuning controllers. The always increasing quality requirements for new products and …

[BOOK][B] Power magnetic devices: a multi-objective design approach

SD Sudhoff - 2021 - books.google.com
Power Magnetic Devices Discover a cutting-edge discussion of the design process for
power magnetic devices In the newly revised second edition of Power Magnetic Devices: A …

Multiobjective optimal control of wind turbines: A survey on methods and recommendations for the implementation

A Gambier - Energies, 2022 - mdpi.com
Advanced control system design for large wind turbines is becoming increasingly complex,
and high-level optimization techniques are receiving particular attention as an instrument to …

Solving constrained trajectory planning problems using biased particle swarm optimization

R Chai, A Tsourdos, A Savvaris… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Constrained trajectory optimization has been a critical component in the development of
advanced guidance and control systems. An improperly planned reference trajectory can be …

[BOOK][B] Nonlinear identification and control: a neural network approach

GP Liu - 2012 - books.google.com
The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology has an impact on all …

Multiobjective switching state selector for finite-states model predictive control based on fuzzy decision making in a matrix converter

F Villarroel, JR Espinoza, CA Rojas… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Finite-states model predictive control is a rising alternative in the control of power converters
and drives. Successful application to different topologies and applications such as two-level …

Closeness coefficient based nonlinear programming method for interval-valued intuitionistic fuzzy multiattribute decision making with incomplete preference …

DF Li - Applied Soft Computing, 2011 - Elsevier
The aim of this paper is to develop a closeness coefficient based nonlinear programming
method for solving multiattribute decision making problems in which ratings of alternatives …

[BOOK][B] Modeling and control of greenhouse crop growth

F Rodríguez, M Berenguel, JL Guzmán… - 2015 - Springer
Modern agriculture is nowadays subject to regulations in terms of quality and environmental
impact and thus it is a field where the application of automatic control techniques has …

Multiobjective overtaking maneuver planning for autonomous ground vehicles

R Chai, A Tsourdos, A Savvaris, S Chai… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Constrained autonomous vehicle overtaking trajectories are usually difficult to generate due
to certain practical requirements and complex environmental limitations. This problem …

Optimization models for training belief-rule-based systems

JB Yang, J Liu, DL Xu, J Wang… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
A belief rule-base inference methodology using the evidential reasoning approach (RIMER)
has been developed recently, where a new belief rule representation scheme is proposed to …