Control and Dynamic Systems V32: Advances in Aerospace Systems Dynamics and Control Systems Part 2 of 3: Advances in Theory and Applications, Part 2
Academic Press, Dec 2, 2012 - Technology & Engineering - 294 pages
Control and Dynamic Systems: Advances in Theory in Applications, Volume 32: Advances in Aerospace Systems Dynamics and Control Systems, Part 2 of 3 deals with significant advances in technologies which support the development of aerospace systems. It also presents several algorithms and computational techniques used in complex aerospace systems.
After discussing flight management systems (FMS), this volume presents techniques for treating complex aerospace systems models. These techniques include parameter identification, asymptotic perturbation method, reliability techniques, constrained optimization techniques, and computation methods for decoy discrimination and optimal targeting.
This book is an excellent reference for research and professional workers in the field who want a comprehensive source of techniques with significant applied implications.
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Chapter 2 Optimal ReducedOrder SubspaceObserver Design with a FrequencyDomain Error Bound
A TimeDependent Stochastic Differential Game
Chapter 4 Parameter Identification in Distributed Structures
A Steepest Descents Approach
Chapter 6 An Asymptotic Perturbation Method for Nonlinear Optimal Control Problems
Chapter 7 Reliability Issues in Structural Control
Chapter 8 Control Law Synthesis and Stability Robustness Improvement Using Constrained Optimization Techniques
Chapter 9 Computational Methods for Decoy Discrimination and Optimal Targeting in Ballistic Missile Defense
admissible functions aircraft algorithm analog discriminator approximate arrival assumed boundary conditions closed-loop components computed conditional probability consider constraints Control Dyn control law cost function cost index decoy quality decoy-quality parameter decoys deﬁned deﬁnite denote derivatives discrete displacements dynamic eigenfunctions estimator exceeding the threshold expected number failure detection feedback ﬁlter ﬁnal ﬁnite element ﬁrst ﬁxed ﬂexible ﬂight given gradient initial interceptors iteration law-II linear linear regulator Lyapunov equation mass and stiffness matrix exponential measurements minimization minimum singular value modal coordinates modes natural frequencies node noise nonlinear number of surviving obtain optimal control output parameter identiﬁcation phase margins plant input Pr(rn probability probability density functions proﬁle rank-order reduced-order reentry objects respectively response Riccati equation RMS error satisﬁes Section sensor failure signiﬁcant simultaneous single-threshold discriminator singular value solution solving Speciﬁcally speed stability robustness surviving reentry warheads truss vector WOBM