2 minute read
SYSTEMS ENGINEERING
SURROGATE MODELING FOR HIGH-FREQUENCY DESIGN
Recent Advances
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edited by Slawomir Koziel (Reykjavik University, Iceland) & Anna Pietrenko-Dabrowska (Gdansk University of Technology, Poland) This book presents a selection of works representing recent advancements in surrogate modeling and their applications to high-frequency design. Some chapters provide a review of specific topics such as neural network modeling of microwave components, while others describe recent attempts to improve existing modeling methodologies. Furthermore, the book features numerous applications of surrogate modeling methodologies to design optimization and uncertainty quantification of antenna, microwave, and analog RF circuits.
Featured Contents: Fundamentals of DataDriven Surrogate Modeling (S Koziel and A Pietrenko-Dabrowska); Parametric Modeling of Microwave Components Using Combined Neural Network and Transfer Function (F Feng, J Zhang, W Na, J Jin, and Q J Zhang); Surrogate Model-assisted Global Optimization for Antenna Design (M O Akinsolu, P Excell, and B Liu); Surrogate-based Modeling and Design Optimization Techniques for Signal Integrity in High-Performance Computer Platforms (F E Rangel-Patiño and J E RayasSanchez); Performance-Driven Inverse/ Forward Modeling of Antennas in VariableThickness Domains (S Koziel and A PietrenkoDabrowska); Sampling Methods for Surrogate Modeling and Optimization (Q S Cheng and Z Zhang); and others. Readership: Graduate students, researchers and designers.
398pp Nov 2021 978-1-80061-074-3 US$138 £120 ALGEBRAIC GEOMETRY FOR ROBOTICS AND CONTROL THEORY
by Laura Menini (University of Rome Tor Vergata, Italy), Corrado Possieri (IASI-CNR, Italy) & Antonio Tornambè (University of Rome Tor Vergata, Italy) After a brief introduction to various algebraic objects and techniques, the book first covers a wide variety of topics concerning control theory, robotics, and their applications. Specifically this book shows how these computational and theoretical methods can be coupled with classical control techniques to: solve the inverse kinematics of robotic arms; design observers for nonlinear systems; solve systems of polynomial equalities and inequalities; plan the motion of mobile robots; analyze Boolean networks; solve (possibly, multi-objective) optimization problems; characterize the robustness of linear; time-invariant plants; and certify positivity of polynomials. Contents: Preface; List of Figures; List of Tables; List of Symbols; Algebraic Geometry Notions; Implementations in Macaulay2; The Inverse Kinematics of Robot Arms; Observer Design; Immersions of Polynomial Systems into Linear Ones Up to an Output Injection; Solving Systems of Equations and Inequalities; Motion Planning for Mobile Robots; Computation of the Largest f-Invariant Set Contained in an Affine Variety; Boolean Networks; MultiObjective Optimization; Distance to Internal Instability of LTI Systems Under Structured Perturbations; Decomposition in Sum of Squares; Bibliography; Index. Readership: Readers and practitioners in the fields of algebraic geometry, control theory, and robotics.
