Deep learning is impacting control in many ways, if not all deep. For more than a decade, it has reinstated the state-space concept as a central and unifying modeling principle. The magical equation x+ = f(x, u) currently dominates IEEE Control Systems Society publications, workshops, and conferences. Once confined to specialized circles of dynamic programming and nonlinear control, it has emerged over the last decade as a lingua franca shared by roboticists, optimizers, machine learners, computer programmers, and pretty much every scientist upgraded with the adjective “computational.” It celebrates the definite victory of computation over modeling in science and engineering.

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国家的艺术[来自编辑]


深度学习正在以多种方式影响控制，即使不是全部都是深度的。十多年来，它恢复了状态空间概念作为核心和统一的建模原则。神奇的方程 x+ = f(x, u) 目前主导着 IEEE 控制系统协会的出版物、研讨会和会议。它曾经局限于动态规划和非线性控制的专业领域，但在过去十年中已成为机器人专家、优化专家、机器学习者、计算机程序员和几乎每个科学家都使用“计算”​​这个形容词进行升级的通用语言。它庆祝科学和工程中计算相对于建模的绝对胜利。