Cutting-Edge Research on Motion Control and Planning of Nonlinear Systems
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".
Deadline for manuscript submissions: 20 June 2027 | Viewed by 99
Editors
Interests: multi-objective planning and control of intelligent preview suspension; motion planning and dynamic control of intelligent vehicles; motion planning and fault-tolerant control of mobile robots; planning and control of multi-degree-of-freedom redundant robotic arms; smart agriculture and precision agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent fault diagnosis/prognosis/tolerance; industrial big data and artificial intelligence; data-driven monitoring and optimization; intelligent operation and maintenance of complex industrial systems
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent control; state estimation; fault detection and fault-tolerant control; leveraging neural networks, nonlinear control and networked control to ensure robust operation; flexible joint systems module addressing tracking control; path planning and cooperative control through system modeling and intelligent decision-making
Special Issue Information
Dear Colleagues,
Nonlinear systems are ubiquitous in modern engineering, spanning advanced robotics, autonomous vehicles, aerospace systems and smart manufacturing. As industrial machinery demands higher precision, faster response times and greater autonomy, traditional linear control methods often fall short. Controlling and planning for these systems presents significant challenges due to inherent nonlinearities, dynamic uncertainties and strict operational constraints.
This Special Issue aims to provide a dedicated platform for capturing the latest theoretic developments and practical innovations in nonlinear system control and intelligent motion planning. Modern mechanical systems are evolving towards higher speeds, greater precision and increased autonomy, which inherently introduces severe nonlinearities, multi-body couplings and dynamic uncertainties. Traditional linear framework often struggles to meet these stringent industrial demands.
Consequently, this Special Issue focuses on bridging the gap between advanced control theories and real-world engineering applications. We welcome contributions that explore novel nonlinear control strategies, adaptive learning mechanisms and robust motion-planning algorithms designed to enhance the stability, tracking accuracy and efficiency of complex machinery. By gathering high-quality research, this issue aims to advance the state of the art in intelligent machines, robotics and automated systems, directly aligning with the core scope of Machines.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Advanced Nonlinear Control Methods: Innovative designs in sliding mode control, backstepping control, active disturbance rejection control (ADRC) and nonlinear PID variants.
- Intelligent Motion Planning: Real-time trajectory generation, obstacle avoidance and kinodynamic planning for autonomous and robotic systems.
- Optimization-Based Control: Model predictive control (MPC) and robust optimization for constrained nonlinear mechanical systems.
- Learning-Based Control and Planning: Integration of neural networks, reinforcement learning and physics-informed AI with classical nonlinear control.
- Underactuated and Multi-Body Systems: Control and stabilization strategies for underactuated mechanical systems and flexible structures.
- Safety-Critical Control: Control barrier functions (CBFs), fault-tolerant control and safe motion planning under strict operational constraints.
- Industrial Applications: Experimental validation and case studies in advanced robotics, unmanned aerial vehicles (UAVs), autonomous driving and smart manufacturing equipment.
We look forward to receiving your contributions.
Dr. Tenglong Huang
Dr. Jiusi Zhang
Dr. Weizhong Chen
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines 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 2400 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 control
- motion planning
- trajectory optimization
- autonomous systems
- motion control
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