http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Control applications of nonlinear programming
proceedings of the IFAC workshop, Denver, Colorado, USA, 21 June 1979
International Federation of Automatic Control
IFAC Workshop on Control Applications of Nonlinear Programming (1979 : Denver, Colo.)
1 online resource (vii, 125 pages) : illustrations
Control Applications of Nonlinear Programming contains the proceedings of the International Federation of Automatic Control Workshop on Control Applications of Nonlinear Programming, held in Denver, Colorado, on June 21, 1979. The workshop provided a forum for discussing the application of optimal and nonlinear programming techniques to real-life control problems. The volume covers a variety of specific applications ranging from microprocessor control of automotive engines and optimal design of structures to optimal aircraft trajectories, system identification, and robotics.Comprised of 14 cha.
Front Cover; Control Applications of Nonlinear Programming; Copyright Page; Table of Contents; PREFACE; CHAPTER 1. APPLICATION OF NON LINEAR PROGRAMMING TO OPTIMUM DESIGN PROBLEM; INTRODUCTION; A MECHANICAL EXAMPLE; PARAMETERIZATION; FINITE DIMENSIONAL PROBLEM; THE NON LINEAR PROGRAMMING PROBLEM; OPTIMIZATION METHODS; NUMERICAL RESULTS; CONCLUDING REMARKS; REFERENCES; CHAPTER 2. NONLINEAR REGULATOR DESIGN FOR MAGNETIC SUSPENSION; INTRODUCTION; LINEAR FEEDBACK CONTROL; NONLINEAR FEEDBACK CONTROL; COMMENTS; ACKNOWLEDGMENT; REFERENCES.
Chapter 3. new linear programming methods and their application to optimal controlintroduction; adaptive method; mathematical model the basic notions; direct adaptive method; numerical experiment; large problems; optimization of control; terminal control problem; reference; chapter 4. optimal control solution of the automotive emission-constrained minimum fuel problem; introduction; the optimal control problem; emission-constrained minimum fuel problem; summary; references; chapter 5. a computer-aided design of robust regulators; 1. introduction; 2. imbedding problem and solution.
3. linear system design4. nonlinear system design; 5. computer algorithm; 6. conclusion; acknowledgements; appendix; references; chapter 6. nonlinear programming for system identification; i. least-squares parameter estimation; ii. nonlinear estimation problem; iii. system identification in dynamic systems; iv. nonlinear programming methods; v. computation of the gradient and hessian of the cost function; vi. comparison of nonlinear programming methods; vii. approximations; viii. conclusions; ix. acknowledgments; appendix a: innovations representation of dynamic systems; references.
Chapter 7. comparing mathematical programming algorithms based on lagrangian functions for solving optimal control problems1. introduction; 2. optimal control of a dynamic system; 3. optimal control as a nonlinear program; 4. algorithms based on lagrangian functions; 5. test problem; conclusions; acknowledgements; references; appendix; chapter 8. computer aided design via optimization; introduction; algorithms for design problems with infinite dimensional constraints; algorithms for design problems with infinite dimensional constraints and tuning; control design; acknowledgement; references.
Chapter 9. hierarchical control of large scale linear systems with an application to roboticsintroduction; problem formulation and decomposition; solution of the infimal problem; the decentralized control algorithm; decentralized parital feedback control; conclusions and comments; appendix: description of the distributed processing system; references; chapter 10. optimal and suboptimal control of oscillating dynamical systems; introduction; description of systems; optimal transfer with bounded velocity; optimal transfer feedback control with bounded velocity.
Includes bibliographical references and index.