《智能与自主控制汇刊》（Transactions on Intelligent and Autonomous Control, TIAC） 是一本国际性、同行评议的学术期刊，致力于发表智能控制与自主控制领域的原创理论、方法与应用研究。本刊以 "智能赋能控制、自主驱动系统" 为核心理念，聚焦融合人工智能、学习机制与自主决策的新一代控制理论与技术，旨在搭建控制科学、人工智能与机器人工程之间的高水平交流平台，推动智能自主系统在复杂、不确定、开放环境中的安全可靠运行与工程应用。
收录范围包括但不限于：
- 智能控制理论与方法：神经网络控制、模糊控制、自适应动态规划、专家控制与学习控制
- 自主系统决策与控制：自主导航、路径规划、任务规划、行为决策与安全验证
- 强化学习与最优控制：深度强化学习、近似动态规划、多目标优化与博弈论控制
- 多智能体系统与协同控制：一致性、蜂拥、编队控制、分布式优化与协同决策
- 机器人控制：移动机器人、机械臂、人形机器人、软体机器人的运动控制与力控制
- 无人系统控制：无人机、无人车、无人船、跨域无人系统的自主控制与集群协同
- 自适应与鲁棒控制：参数自适应、扰动估计、容错控制与不确定系统鲁棒性分析
- 网络控制与事件触发控制：网络时延、丢包、量化、事件触发 / 自触发控制与资源调度
- 人机协作与共享控制：人机交互、意图识别、共享自主、可解释控制与可信自主系统
- 智能控制的工程应用：智能制造、智能交通、智慧能源、医疗机器人、农业自动化等领域的控制创新
稿件类型： 原创研究论文（Regular Papers）、快报（Letters/Short Papers）、综述论文（Survey/Review Articles）、技术短文（Technical Notes）、应用案例（Application Notes）、社论（Editorial）及书评等。
Transactions on Intelligent and Autonomous Control (TIAC) is an international, peer-reviewed journal dedicated to publishing original theoretical, methodological, and applied research in intelligent and autonomous control. Grounded in the core vision of intelligence empowers control, autonomy drives systems, the journal focuses on next-generation control theories and technologies that integrate artificial intelligence, learning mechanisms, and autonomous decision-making. It serves as a high-level platform bridging control science, artificial intelligence, and robotics engineering, advancing the safe, reliable operation and engineering deployment of intelligent autonomous systems in complex, uncertain, and open environments.
The journal welcomes submissions covering, but not limited to:
- Intelligent control theories and methods: neural network control, fuzzy control, adaptive dynamic programming, expert control, and learning-based control
- Autonomous system decision-making and control: autonomous navigation, path planning, task planning, behavioral decision-making, and safety verification
- Reinforcement learning and optimal control: deep reinforcement learning, approximate dynamic programming, multi-objective optimization, and game-theoretic control
- Multi-agent systems and cooperative control: consensus, flocking, formation control, distributed optimization, and collaborative decision-making
- Robot control: motion control and force control of mobile robots, manipulators, humanoid robots, and soft robots
- Unmanned system control: autonomous control and swarm coordination of UAVs, UGVs, USVs, and cross-domain unmanned systems
- Adaptive and robust control: parameter adaptation, disturbance estimation, fault-tolerant control, and robustness analysis of uncertain systems
- Networked control and event-triggered control: network delay, packet loss, quantization, event-triggered/self-triggered control, and resource scheduling
- Human-robot collaboration and shared control: human-robot interaction, intent recognition, shared autonomy, interpretable control, and trustworthy autonomous systems
- Engineering applications of intelligent control: control innovations in intelligent manufacturing, smart transportation, smart energy, medical robotics, agricultural automation, and other domains
Article types include Regular Papers, Letters/Short Papers, Survey/Review Articles, Technical Notes, Application Notes, Editorials, and Book Reviews.
