TY - BOOK ID - 146253376 TI - Advanced Mathematics and Computational Applications in Control Systems Engineering AU - LoĢpez-Estrada, Francisco Ronay AU - Valencia-Palomo, Guillermo PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Technology: general issues KW - doubly fed induction generator KW - PI tuning KW - LCL-filter KW - passive damping KW - advanced metaheuristics KW - Bonferroni-Dunn and Friedman's tests KW - resistance spot welding KW - dynamic resistance model KW - adaptive control KW - energy savings KW - adaptive disturbance rejection controller KW - hybrid systems KW - state constraint KW - worm robot KW - bio-inspired robots KW - Streeter-Phelps model KW - fractional-order control KW - high observers KW - river monitoring KW - 3 DOF crane KW - convex systems KW - fault-tolerant control KW - robust control KW - qLPV systems KW - Takagi-Sugeno systems KW - chaos KW - synchronization KW - FPGA KW - UDS KW - distillation column heating actuator KW - Buck-Boost converter KW - Takagi-Sugeno model KW - fuzzy observer with sliding modes KW - nonlinear optimization KW - turbulent flow KW - friction factor KW - pipe roughness KW - minor losses KW - PID control and variants KW - Intelligent control techniques KW - neural control KW - brushless DC electric motors KW - sensors and virtual instruments KW - analysis and treatment of signals KW - doubly fed induction generator KW - PI tuning KW - LCL-filter KW - passive damping KW - advanced metaheuristics KW - Bonferroni-Dunn and Friedman's tests KW - resistance spot welding KW - dynamic resistance model KW - adaptive control KW - energy savings KW - adaptive disturbance rejection controller KW - hybrid systems KW - state constraint KW - worm robot KW - bio-inspired robots KW - Streeter-Phelps model KW - fractional-order control KW - high observers KW - river monitoring KW - 3 DOF crane KW - convex systems KW - fault-tolerant control KW - robust control KW - qLPV systems KW - Takagi-Sugeno systems KW - chaos KW - synchronization KW - FPGA KW - UDS KW - distillation column heating actuator KW - Buck-Boost converter KW - Takagi-Sugeno model KW - fuzzy observer with sliding modes KW - nonlinear optimization KW - turbulent flow KW - friction factor KW - pipe roughness KW - minor losses KW - PID control and variants KW - Intelligent control techniques KW - neural control KW - brushless DC electric motors KW - sensors and virtual instruments KW - analysis and treatment of signals UR - https://www.unicat.be/uniCat?func=search&query=sysid:146253376 AB - Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering. ER -