Nonlinear control systems represent a critical area of study wherein the relationship between inputs and outputs is not directly proportional, resulting in complex and often unpredictable dynamics.

More information: Van-Truong Nguyen et al, Robust adaptive nonlinear PID controller using radial basis function neural network for ballbots with external force, Engineering Science and Technology ...

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High-breakdown-point regression estimators protect against large errors and data contamination. We generalize the concept of trimming used by many of these robust estimators, such as the least trimmed ...

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We develop test statistics to test hypotheses in nonlinear weighted regression models with serial correlation or conditional heteroscedasticity of unknown form. The novel aspect is that these tests ...

Article Title Robust adaptive nonlinear PID controller using radial basis function neural network for ballbots with external force ...