Nonlinear control systems and methods address the complexities inherent in systems whose outputs are not directly proportional to their inputs. These approaches involve a range of strategies ...

In this paper, we consider a class of nonlinear control systems subject to false data injection attacks and switching attacks. The problem of attack estimation is formulated as the simultaneous ...

As a result, T-S fuzzy systems are better choice as the stabilization analysis and control design simpler; Secondly, one of the main dissimilarities is that affine T-S fuzzy systems have better ...

Based on recent results from analytical dynamics, this paper develops a class of tracking controllers for controlling general, nonlinear, structural and mechanical systems. Unlike most control methods ...

Reinforcement learning (RL) provides promising results for finding optimal controllers for systems with nonlinear, potentially stochastic dynamics that are either unknown or extremely unpredictable.

Apply feedback control laws to stabilize systems and achieve performance goals. Control systems are ubiquitous among many science and engineering disciplines. Learn topics in modeling, analysis, ...

We focus on developing control techniques that ensure system performance and stability under uncertainty and nonlinearity. Our expertise includes robust control design and analysis methods for ...

The research group is seeking a talented Doctoral Researcher in nonlinear systems and control with strong interest in nonlinear stability theory, modeling & identification, optimal control, ...