Robust Estimation and Control of Uncertain Nonlinear Systems
A special issue of Automation (ISSN 2673-4052). This special issue belongs to the section "Control Theory and Methods".
Deadline for manuscript submissions: 30 October 2026 | Viewed by 483
Special Issue Editors
Interests: control; robustness; fault detection and tolerance; observer design; estimation; unknown inputs and cybersecurity; robotics and UAV applications
Interests: robotics and autonomous systems; cyber-physical systems; robotics for environmental monitoring; robotics for extreme environments; unmanned aerial vehicles; cooperative navigation and control; multi-agent systems; active noise and vibration control systems; system identification; adaptive control and signal processing
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Special Issue Information
Dear Colleagues,
The increasing complexity of modern engineering systems, often characterized by nonlinear dynamics and subject to significant model uncertainties, external disturbances, unmeasured states, and parameter variations, presents a major challenge to their reliable design and operation. Ensuring stability, performance, and robustness under such conditions requires advanced estimation and control methodologies that can effectively cope with nonlinear dynamics and uncertainties while achieving desired system behavior.
This Special Issue of Automation, “Robust Estimation and Control of Uncertain Nonlinear Systems”, focuses on recent advances in theoretical and applied research in this field. The scope includes, but is not limited to, robust and adaptive control, nonlinear observer and filter design, fault detection and diagnosis, cyber-physical security and resilience, learning-based and data-driven robust control, and hybrid or networked control systems under uncertainty. Contributions that explore novel theoretical frameworks, address robustness analysis and performance guarantees, and integrate analytical rigor with computational efficiency and experimental applications are particularly encouraged.
Topics of interest include, but are not limited to, adaptive and learning-based control, disturbance rejection strategies, observers for nonlinear systems, classical and novel model-based control-theoretic analysis, and real-world case studies demonstrating robustness in challenging environments.
This Special Issue aims to advance the state of the art in managing uncertainty in nonlinear systems, providing a broad perspective on current challenges and methodologies, and on future research directions, in robust estimation and control of uncertain nonlinear systems.
Dr. Souad Bezzaoucha
Dr. Allahyar Montazeri
Guest Editors
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 submissions that pass pre-check are 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 250 words) can be sent to the Editorial Office for assessment.
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. Automation is an international peer-reviewed open access semimonthly 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 1200 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.
Keywords
- nonlinear systems
- observer design
- robust control theory
- uncertainty modeling
- adaptive and fault-tolerant control
- cyber-physical systems
- stability and performance guarantees
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