Introduction

1 With the introduction of new devices and extended character sets, new features may be
added to this International Standard. Subclauses in the language and library clauses warn
implementors and programmers of usages which, though valid in themselves, may
conflict with future additions.
2 Certain features are obsolescent, which means that they may be considered for
withdrawal in future revisions of this International Standard. They are retained because
of their widespread use, but their use in new implementations (for implementation
features) or new programs (for language [6.11] or library features [7.26]) is discouraged.
3 This International Standard is divided into four major subdivisions:
— preliminary elements (clauses 1−4);
— the characteristics of environments that translate and execute C programs (clause 5);
— the language syntax, constraints, and semantics (clause 6);
— the library facilities (clause 7).
4 Examples are provided to illustrate possible forms of the constructions described.
Footnotes are provided to emphasize consequences of the rules described in that
subclause or elsewhere in this International Standard. References are used to refer to
other related subclauses. Recommendations are provided to give advice or guidance to
implementors. Annexes provide additional information and summarize the information
contained in this International Standard. A bibliography lists documents that were
referred to during the preparation of the standard.
5 The language clause (clause 6) is derived from ‘‘The C Reference Manual’’.
6 The library clause (clause 7) is based on the 1984 /usr/group Standard. 
内容概要:本书《Deep Reinforcement Learning with Guaranteed Performance》探讨了基于李雅普诺夫方法的深度强化学习及其在非线性系统最优控制中的应用。书中提出了一种近似最优自适应控制方法,结合泰勒展开、神经网络、估计器设计及滑模控制思想,解决了不同场景下的跟踪控制问题。该方法不仅保证了性能指标的渐近收敛,还确保了跟踪误差的渐近收敛至零。此外,书中还涉及了执行器饱和、冗余解析等问题,并提出了新的冗余解析方法,验证了所提方法的有效性和优越性。 适合人群:研究生及以上学历的研究人员,特别是从事自适应/最优控制、机器人学和动态神经网络领域的学术界和工业界研究人员。 使用场景及目标:①研究非线性系统的最优控制问题,特别是在存在输入约束和系统动力学的情况下;②解决带有参数不确定性的线性和非线性系统的跟踪控制问题;③探索基于李雅普诺夫方法的深度强化学习在非线性系统控制中的应用;④设计和验证针对冗余机械臂的新型冗余解析方法。 其他说明:本书分为七章,每章内容相对独立,便于读者理解。书中不仅提供了理论分析,还通过实际应用(如欠驱动船舶、冗余机械臂)验证了所提方法的有效性。此外,作者鼓励读者通过仿真和实验进一步验证书中提出的理论和技术。
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