One possible approach to do path planning for nonholonomic systems is to use optimal control. It is intuitively clear that optimal control should give rise to solutions of the path planning problem that are in feedback form, and one can expect that the resulting feedback control laws will be \piecewise smooth" or \piecewise analytic" in some sense. Here we focus on the weaker property of analyt...

Low gain feedback, a parameterized family of stabilizing state feedback gains whose magnitudes approach zero as the parameter decreases to zero, has found several applications in constrained control systems, robust control and nonlinear control. In the continuous-time setting, there are currently three ways of constructing low gain feedback laws the eigenstructure assignment approach, the param...

In this paper, an observer-based adaptive feedback controller is developed for a class of chaotic systems. This controller does not need the availability of state variables. It can be used for tracking a smooth orbit that can be a limit cycle or a chaotic orbit of another system. This adaptive feedback controller is constructed with the aid of its H∞ control technique to achieve the H∞ tracking...

OBJECTIVE We distinguish outcome feedback from control feedback to show that suboptimal performance in a dynamic multitasking system may be caused by limits inherent to the information provided rather than human resource limits. BACKGROUND Tardast is a paradigm for investigating human multitasking behavior, complex system management, and supervisory control. Prior research attributed the subo...

corrective feedback (cf) and its different types have long absorbed many scholars and practitioners. as ellis (2009) mentioned some experimental studies need to be carefully designed to discover the relative effectiveness of each of these cf techniques. the goal of this qualitative study was to discover whether the employment of different cf strategies could bring about an attitudinal shift. to...