Open AccessBook
Applied system identification
Reads0
Chats0
TLDR
In this paper, the authors introduce the concept of Frequency Domain System ID (FDSI) and Frequency Response Functions (FRF) for time-domain models, as well as Frequency-Domain Models with Random Variables and Kalman Filter.Abstract:
1. Introduction. 2. Time-Domain Models. 3. Frequency-Domain Models. 4. Frequency Response Functions. 5. System Realization. 6. Observer Identification. 7. Frequency Domain System ID. 8. Observer/Controller ID. 9. Recursive Techniques. Appendix A: Fundamental Matrix Algebra. Appendix B: Random Variables and Kalman Filter. Appendix C: Data Acquisition.read more
Citations
More filters
Proceedings ArticleDOI
Determination and Validation of a Mathematical Model of a Target With Variable Trajectory using the Kalman Filter Technique
TL;DR: The classical methods to track the moving objects which are moving on the ballistic trajectory are not applicable in this case and new types of interceptors are suggested.
Journal ArticleDOI
Modal Parameter Identification from Output Data Only: Equivalent Approaches
TL;DR: In this paper, the problem of modal parameter identification from output data only is presented, and different algorithms are presented: the block Hankel matrix and its shifted version and the block observability and block controllability matrices and their shifted version.
Decentralized multi-agent coordinated secondary voltage control of power systems
TL;DR: The proposed algorithm gives the flexibility to the shared compensators as agents to decide on their degree of participation in SVC algorithm of each neighbor based on their own performance objectives and does not require any communication link between regional controllers.
Synthesis and Hardware Implementation of an Unmanned Aerial Vehicle Automatic Landing System Utilizing Quantitative Feedback Theory
TL;DR: In this paper, a linear discrete-time automatic landing controller using Quantitative Feedback Theory to ensure control robustness and adequate disturbance rejection is developed in simulation and evaluated in flight tests of the low cost Easy Star remote-controlled platform.
Book ChapterDOI
Parameter Estimation on Nonlinear Systems Using Orthogonal and Algebraic Techniques
TL;DR: A Hilbert transform based nonlinearity index is calculated in order to evaluate possible nonlinearities appearing into the system dynamics and then the algebraic estimation of the most important parameters into the nonlinear system is computed.