The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Identifiability and Detectability of Lyapunov Exponents in Robotics
|
Author(s): Nikolay Nikolayevich Karabutov (MIREA-Russian Technological University, Moscow, Russia)
Copyright: 2023
Pages: 23
Source title:
Design and Control Advances in Robotics
Source Author(s)/Editor(s): Mohamed Arezk Mellal (M'Hamed Bougara University, Algeria)
DOI: 10.4018/978-1-6684-5381-0.ch009
Purchase
|
Abstract
Lyapunov exponents (LE) are one of the most effective tools for analyzing the quality of systems in robotics. They are used to optimize the robot work, evaluate the quality of their work, and solve various tasks in control systems with robots. Calculating the full spectrum of LE is a complex problem. It relates to the identifiability recoverability and detectability of LE. The identifiability recoverability and detectability issues of Lyapunov exponents were not considered. This problem is relevant. The authors propose an approach to verify these characteristics for the linear dynamical system. It bases on the analysis of geometric frameworks (GF) that depends on the structural properties coefficient (SPC). The SPC reflects the change in Lyapunov exponents, and GF guarantees decision-making on the LE type. They obtain (1) conditions of fully detectable LE (these conditions correspond to the determination of an indicators complete set in the robot control system) and (2) s-detectability conditions with level v-no recoverability if the system contains no recoverable lineals.
Related Content
Brij B. Gupta, Akshat Gaurav, Francesco Colace.
© 2025.
16 pages.
|
Akshat Gaurav, Varsha Arya.
© 2025.
16 pages.
|
Brij B. Gupta, Jinsong Wu.
© 2025.
22 pages.
|
Purwadi Agus Darwinto, Agung Mulyo Widodo, Nilla Perdana Agustina, Kadek Dwi Wahyuadnyana, Mosiur Rahaman.
© 2025.
30 pages.
|
Mosiur Rahaman, Karisma Trinda Putra, Bambang Irawan, Totok Ruki Biyanto.
© 2025.
30 pages.
|
Shaurya Katna, Sunil K. Singh, Sudhakar Kumar, Divyansh Manro, Amit Chhabra, Sunil Kumar Sharma.
© 2025.
22 pages.
|
Kwok Tai Chui, Varsha Arya, Akshat Gaurav, Shavi Bansal, Ritika Bansal.
© 2025.
22 pages.
|
|
|