Analysis and Design of Linear/Nonlinear Control System
A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Control Systems".
Deadline for manuscript submissions: 22 September 2025 | Viewed by 1502
Special Issue Editor
Interests: linear/nonlinear control system analysis and design; system modeling and parameter identification; sliding mode control and its applications; adaptive control and its applications; servo mechanism integration and control technology; servo motor motion controls; path planning and trajectory interpolation; unmanned aerial vehicle control design; control system design using artificial intelligence intelligent indoor perception; localization and mapping technology
Special Issue Information
Dear Colleagues,
The field of control systems engineering has evolved significantly, encompassing a wide array of techniques and methodologies to address complex dynamics in both linear and nonlinear systems. This Special Issue will gather cutting-edge research that advances the theoretical and practical aspects of control systems, fostering innovation and collaboration among researchers and practitioners. This Special Issue will cover the latest advancements in the analysis and design of both linear and nonlinear control systems, focusing on theoretical development, algorithm design, realization and practical applications. Recent artificial intelligence (AI)-related technologies used for developed control systems are very welcome. This Special Issue will provide a platform for presenting novel approaches, comprehensive reviews, and real-world applications that demonstrate the impacts of control systems in various industries.
Dr. Chao-Chung Peng
Guest Editor
Manuscript Submission Information
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Keywords
- system modeling and parameter identification
- linear/nonlinear control design
- sliding mode control (SMC) systems
- model reference adaptive control (MRAC) systems
- proportional–integral–derivative (PID) control
- robust observer design for disturbance/state estimation
- sensor-fusion-based control technology
- servo mechanism control design and applications
- artificial intelligence (AI) for control systems
- path planning and optimization
- control design of unmanned aerial vehicles (UAVs)
- advanced control applications and optimization
- robot control, navigation, localization, and mapping
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