BLF-Based State-Constrained Neuro-Adaptive Control

The preceding chapters provided an overview of existing nonlinear adaptive control methodologies, with a particular emphasis on neuro-adaptive control for various classes of nonlinear systems. Nominal state-constrained control strategies for a perfectly known system model were presented in Chap. 4 . However, the presence of modeling uncertainties and external disturbances significantly complicates the control design process for constrained systems. To address this challenge, in this chapter, the neuro-adaptive control design framework is extended to distinct classes of nonlinear systems, assuming the presence of structured modeling uncertainties. In the next chapter, the neuro-adaptive control framework is developed to address unstructured modeling uncertainties and bounded external disturbances. Thus, the current chapter serves as a foundational introduction to state-constrained neuro-adaptive control design.