this paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. the uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. the contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...

In this paper, we consider a controller failure time analysis problem for a class of symmetric linear time-invariant (LTI) systems controlled by a pre-designed symmetric static output feedback. We assume that the controller fails from time to time due to physical or purposeful reason, and analyze stability and H∞ disturbance attenuation properties for the entire system. Our objective is to find...

This paper investigates the tracking control of a wheeled mobile robot in the unknown environment. A disturbance observer is developed with utilization the integral filter. The proposed control scheme employs the disturbance observer control approach to design an auxiliary wheel velocity controller to make the tracking errors, which includes the velocity tracking error, the angular velocity tra...

The problem of networked control under disturbance and jamming attacks is investigated. Specifically, the control input packets are assumed to be transmitted from the controller to a linear plant over an insecure wireless communication channel that faces jamming attacks. The likelihood of transmission failures on this channel depends on the power of the jamming interference signal emitted by an...

This paper presents a novel nonlinear Internal Model Controller architecture that achieves linear rejection of input disturbances from the control signal. For a large class of SISO nonlinear systems, appropriate open loop stability properties guarantee closed loop tracking and disturbance rejection of asymptotically constant signals. The convenient tuning and improved performance is illustrated...

New comb drives using high stiffness ratio springs are designed and modeled to provide capabilities of large static displacement and continuous motion for applications, such as micro XY stage, two dimensional lens scanner, variable optical attenuator, and optical switch, etc. The maximum static displacement of conventional comb drive is constrained by the side sticking effect of comb finger ele...

This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. The contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...

A control strategy is described for globally stabilizing ANCBI linear plants subject to input constraints in the presence of persistent arbitrarily large but bounded disturbances. Unlike the disturbance-free case, the presence of persistent disturbances imposes critical structural conditions on the disturbance-to-state map of the system in order to achieve global internal asymptotic and global ...