Control Theory and Intelligent Systems in Engineering

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".

Deadline for manuscript submissions: 31 January 2027 | Viewed by 2

Special Issue Editor


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Guest Editor
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China
Interests: intelligent automotive; vehicle control system; active safety

Special Issue Information

Dear Colleagues,

Recent advances in control theory and intelligent systems have profoundly reshaped modern engineering, enabling autonomous decision-making, adaptive regulation, and real-time optimization across diverse domains such as robotics, autonomous vehicles, smart grids, and industrial automation. At the heart of these breakthroughs lies a rich interplay of mathematical disciplines—differential equations, dynamical systems, optimization theory, stochastic processes, and functional analysis—which provide the rigorous foundation for modeling, analysis, and synthesis of intelligent control architectures.

This Special Issue aims to highlight the synergistic integration of control theory and mathematical methodologies with intelligent systems engineering. Topics of interest include, but are not limited to, nonlinear and adaptive control, optimal and robust control, model predictive control, reinforcement learning-based control, distributed and networked control systems, and hybrid dynamical systems. Special emphasis will be placed on mathematical frameworks such as Lyapunov stability theory, Hamilton–Jacobi–Bellman equations, convex and non-convex optimization, game theory, and probabilistic methods for uncertainty quantification.

We invite contributions that present novel theoretical developments, innovative mathematical tools, or practical engineering applications where control theory and intelligent systems converge. The Special Issue serves as a platform for researchers and practitioners to share cutting-edge results, foster interdisciplinary dialogue, and advance the mathematical underpinnings of intelligent control in engineering contexts.

Dr. Youguo He
Guest Editor

Manuscript Submission Information

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Keywords

  • control theory
  • intelligent systems
  • autonomous decision-making
  • adaptive regulation
  • real-time optimization
  • robotics
  • autonomous vehicles
  • smart grids
  • industrial automation
  • differential equations
  • dynamical systems
  • optimization theory
  • stochastic processes
  • functional analysis
  • nonlinear control
  • adaptive control
  • optimal control
  • robust control
  • model predictive control
  • reinforcement learning-based control
  • distributed and networked control systems
  • hybrid dynamical systems

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Published Papers

This special issue is now open for submission.
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