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Nonlinear control of underactuated mechanical systems with application to robotics and aerospace vehicles

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Nonlinear Control of Mechanical Systems: A Reimannian Geometry Approach

Francesco bullo phd dissertation, caltech, august 1998.

Nonlinear control of mechanical systems is a challenging discipline that lies at the intersection between control theory and geometric mechanics. This thesis sheds new light on this interplay while investigating motion control problems for Lagrangian systems. Both stability and motion planning aspects are treated within a unified framework that accounts for a large class of devices such as robotic manipulators, autonomous vehicles and locomotion systems.

One distinguishing feature of mechanical systems is the number of control forces. For systems with as many input forces as degrees of freedom, many control problems are tractable. One contribution of this thesis is a set of trajectory tracking controllers designed via the notions of configuration and velocity error. The proposed approach includes as special cases a variety of results on joint and workspace control of manipulators as well as on attitude and position control of vehicles.

Whenever fewer input forces are available than degrees of freedom, various control questions arise. The main contribution of this thesis is the design of motion algorithms for vehicles, i.e., rigid bodies moving in Euclidean space. First, an algebraic controllability analysis characterizes the set of reachable configurations and velocities for a system starting at rest. Then, provided a certain controllability condition is satisfied, various motion algorithms are proposed to perform tasks such as short range reconfiguration and hovering.

Finally, stabilization techniques for underactuated systems are investigated. The emphasis is on relative equilibria, i.e., steady motions for systems that have a conserved momentum. Local exponential stabilization is achieved via an appropriate splitting of the control authority.

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Analysis and Synthesis of Nonlinear Control Systems

A Convex Optimisation Approach

  • © 2022
  • Miguel Bernal   ORCID: https://orcid.org/0000-0003-3488-6180 0 ,
  • Antonio Sala   ORCID: https://orcid.org/0000-0002-5691-8772 1 ,
  • Zsófia Lendek   ORCID: https://orcid.org/0000-0003-4539-7876 2 ,
  • Thierry Marie Guerra   ORCID: https://orcid.org/0000-0001-5483-9651 3

Department of Electrical and Electronics Engineering, Sonora Institute of Technology, Obregon, Mexico

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Inst. U. Automática e Informática Industrial, Universitat Politècnica de València, Valencia, Spain

Department of automation, technical university of cluj-napoca, cluj-napoca, romania, department of automation and control, lami humr cnrs 8201, université polytechnique hauts-de-france, valenciennes, france.

  • Provides an overview of latest developments within synthesis of convex-optimization-based control of nonlinear systems
  • Offers both background information and up-to-date research, making it a self-contained guide
  • Includes fully worked-out examples, with enough detail to be reproduced by readers

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 408)

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Table of contents (7 chapters)

Front matter, introduction.

  • Miguel Bernal, Antonio Sala, Zsófia Lendek, Thierry Marie Guerra

Problems to Be Solved and Scope of the Book

Modelling via convex structures, stability analysis, state feedback, performance, and robustness, observation and output feedback, conclusions and perspectives, back matter.

  • Nonlinear Control Systems
  • Quasi-Linear Parameter Varying Systems
  • Takagi-Sugeno Models
  • Polynomial Models
  • Descriptor Models
  • Linear Fractional Transformation Models
  • Lyapunov-Based Methods
  • Convex Optimization
  • Linear Matrix Inequalities
  • Sum-of-Squares Tools

About this book

This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures.

Authors and Affiliations

Miguel Bernal

Antonio Sala

Zsófia Lendek

Thierry Marie Guerra

About the authors

Professor Miguel Bernal received his PhD in Automatic Control from the Czech Technical University at Prague in 2005. He was a post-doctoral researcher at the University of Valenciennes and Hainaut-Cambrésis, France, from 2006 to 2009. He has been a member of the National Research System of Mexico since 2007. In 2011, he was appointed Full Professor at the Sonora Institute of Technology, Mexico. He has led and supervised several research projects and PhD theses in Mexico and elsewhere on nonlinear control via convex structures and linear matrix inequalities, an area where he counts more than 40 journal papers and over 1300 citations. Since 2015, he has served as Associate Editor for the journal Fuzzy Sets and Systems.

Bibliographic Information

Book Title : Analysis and Synthesis of Nonlinear Control Systems

Book Subtitle : A Convex Optimisation Approach

Authors : Miguel Bernal, Antonio Sala, Zsófia Lendek, Thierry Marie Guerra

Series Title : Studies in Systems, Decision and Control

DOI : https://doi.org/10.1007/978-3-030-90773-0

Publisher : Springer Cham

eBook Packages : Intelligent Technologies and Robotics

Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

Hardcover ISBN : 978-3-030-90772-3 Published: 06 February 2022

Softcover ISBN : 978-3-030-90775-4 Published: 07 February 2023

eBook ISBN : 978-3-030-90773-0 Published: 05 February 2022

Series ISSN : 2198-4182

Series E-ISSN : 2198-4190

Edition Number : 1

Number of Pages : X, 345

Number of Illustrations : 20 b/w illustrations, 42 illustrations in colour

Topics : Control and Systems Theory , Optimization , Systems Theory, Control , Statistical Theory and Methods

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Daniel Guggenheim School of Aerospace Engineering

College of engineering, ph.d. defense: carlota bonnet.

Location URL

Ph.D. Defense

Carlota Bonnet

(Advisor: Prof. Marilyn J. Smith)

will defend a doctoral thesis entitled,

Physics and Modeling of Nonlinear Sharp-Edged Transverse Gust Encounters and Applications to Urban Environments

Tuesday, April 30 

9:00 a.m. Montgomery Knight 317 and virtual on Teams:  https://teams.microsoft.com/l/meetup-join/19%3ameeting_MDc1ZWI5ZTQtNDllMi00Mjg0LTk3NDgtYzI2YjE3YjU5ZGE3%40thread.v2/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22af0448b1-ec41-4245-99ba-fb5b74e6bb1b%22%7d

Meeting ID: 298 435 175 267

Passcode: D8kWhy

The advent of smaller, lighter Urban Air Mobility (UAM) and Uncrewed Aerial Vehicles (UAV) focus on missions that are performed primarily in urban and nap-of-the-earth environments. These vehicles, with slower forward flight speeds and reduced mass ratios flying through large transients, have led to a renewed interest of gusts (discrete turbulence) and their impact on vehicle response. This knowledge is required to ensure both safety and the reduction of noise during operations, in particular during takeoff and landing (terminal operations). 

As such, a greater understanding of the flow physics of large canonical wing-gust interactions is required in order to accurately model these physics during vehicle design, especially for manned and autonomous control law development.  This understanding requires the development of physical and computational experiments that accurately capture the details of the flow field so that existing linear models can be expanded or new theories developed.

This defense will present the development of a computational methodology to model nonlinear sharp-edged transverse gusts and validate the results against experimental data. The methodology is then used to characterize the behavior of a lifting surface encountering transverse gusts of varying amplitudes and widths to isolate the fundamental physics which characterize the transition from traditional linear gust responses to nonlinear gust responses for traverse gusts with a top-hat profile. Lastly, the effect of vertical motion on the vehicle response is analyzed.

  • Prof. Marilyn J. Smith – School of Aerospace Engineering
  • Prof. Brian J. German – School of Aerospace Engineering
  • Prof. Jonnalagadda V. R. Prasad– School of Aerospace Engineering
  • Prof. Juergen Rauleder – School of Aerospace Engineering
  • Dr. John Hrynuk – Research Mechanical Engineer, DEVCOM Army Research Lab
  • Dr. Brett Peters – Senior Aerodynamics Engineer, REGENT Craft Inc.
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