BaCLNS：用于快速高效控制线性和非线性控制仿射系统的工具箱
BaCLNS: A toolbox for fast and efficient control of Linear and Nonlinear Control Affine Systems
AI总结：
本文介绍 Python 工具箱 BaCLNS，用于自动化线性与非线性控制仿射系统的反步控制律设计、仿真和分析，并通过多类线性及混沌非线性示例验证其有效性。
摘要：
Backstepping Control of Linear and Nonlinear Systems（BaCLNS，线性与非线性系统反步控制）是一个 Python 软件包，旨在为线性和非线性控制仿射系统自动化完成反步控制律的设计、仿真与分析。通过提供标准化框架，BaCLNS 简化了反步控制器的推导过程，使这一强大的控制技术更易于被工程师、研究人员和教育工作者使用。该软件包能够处理复杂的系统动力学，即使在存在显著非线性的情况下也能确保鲁棒镇定。BaCLNS 的模块化设计允许用户在一个用户友好的环境中定义自定义控制系统、仿真其行为并可视化结果。该软件包的有效性通过一系列说明性示例得到验证，这些示例从简单线性系统到混沌非线性系统，包括 Vaidyanathan Jerk System、摆和 Van der Pol Oscillator。
英文摘要：
Backstepping Control of Linear and Nonlinear Systems (BaCLNS) is a Python package developed to automate the design, simulation, and analysis of backstepping control laws for both linear and nonlinear control-affine systems. By providing a standardized framework, BaCLNS simplifies the process of deriving backstepping controllers, making this powerful control technique more accessible to engineers, researchers, and educators. The package handles complex system dynamics, ensuring robust stabilization even in the presence of significant nonlinearities. BaCLNS's modular design allows users to define custom control systems, simulate their behavior , and visualize the results all within a user-friendly environment. The effectiveness of the package is demonstrated through a series of illustrative examples, ranging from simple linear systems to chaotic nonlinear systems, including the Vaidyanathan Jerk System, the pendulum and the Van der Pol Oscillator.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
