Robust adaptive fuzzy control of chaos in the permanent magnet synchronous motor.
Robust adaptive fuzzy filters output feedback control of strict-feedback nonlinear systems
In this paper, an adaptive fuzzy robust output feedback control approach is proposed for a class of single input single output (SISO) strict-feedback nonlinear systems without measurements of states. The nonlinear systems addressed in this paper are assumed to possess unstructured uncertainties, unmodeled dynamics and dynamic disturbances, where the unstructured uncertainties are not linearly parameterized, and no prior knowledge of their bounds is available. In recursive design, fuzzy logic systems...
Robust adaptive stabilization of linear time-invariant dynamic systems by using fractional-order holds and multirate sampling controls.
Robust control of chaos in modified FitzHugh-Nagumo neuron model under external electrical stimulation based on internal model principle
This paper treats the question of robust control of chaos in modified FitzHugh-Nagumo neuron model under external electrical stimulation based on internal model principle. We first present the solution of the global robust output regulation problem for output feedback system with nonlinear exosystem. Then we show that the robust control problem for the modified FitzHugh-Nagumo neuron model can be formulated as the global robust output regulation problem and the solvability conditions for the output...
Robust fractional adaptive control based on the strictly Positive Realness Condition
This paper presents a new approach to robust adaptive control, using fractional order systems as parallel feedforward in the adaptation loop. The problem is that adaptive control systems may diverge when confronted with finite sensor and actuator dynamics, or with parasitic disturbances. One of the classical robust adaptive control solutions to these problems makes use of parallel feedforward and simplified adaptive controllers based on the concept of positive realness. The proposed control scheme...
Robust state-derivative feedback LMI-based designs for linear descriptor systems.
Robustly stable multiestimation scheme for adaptive control and identification with model reduction issues.