Special Issue "Parameter Estimation Algorithms and Its Applications"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (31 December 2018).
Department of Mechanical Engineering, University of Bristol, BS8 1TH Bristol, UK
Interests: adaptive control; parameter estimation; nonlinear control and applications
Interests: system identification; numerical algorithm; signal processing; system modeling
Interests: dynamic system modeling; identification; control and simulation
Special Issues and Collections in MDPI journals
Many practical engineering problems can be addressed, provided that the precise models of the studied plants are known. This practically orientated need has stimulated the development of an emerging topic: System identification. As a key subject in the system identification, parameter estimation has been widely studied since 1960, and many algorithms have been used in the practice. However, there are still certain issues to be further revisited and addressed. This has stimulated recently increasing research interests and developments on advanced learning and adaptation for parameter estimation.
The open access journal Algorithms will host a Special Issue on “Parameter Estimation Algorithms and Its Applications”.
This Special Issue aims at providing a specific opportunity to review the state-of-the-art of Parameter Estimation Algorithms. Authors are invited to present new algorithms, frameworks, software architectures, experiments and applications aimed at bringing new information about relevant theory and techniques of parameter estimation. All original papers related to parameter estimation and their application are welcome. In particular, we encourage authors to introduce new results for synthesizing estimation and optimization into practical systems, e.g., multi-agent systems, smart grid, population systems, multi-agent systems, UAVs, human–robot interactions, etc.
Prof. Dr. Jing Na
Prof. Dr. Feng Ding
Prof. Dr. Quan Min Zhu
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Adaptive parameter estimation
- System identification
- Gradient algorithm
- Least squares algorithm
- Black-box identification
- Grey-box identification
- Bio-inspired learning and adaptation
- Convergence and consistency
- Kernel based identification