Based on both adaptive and fuzzy logic techniques, the fault-tolerant tracking problem for near-space vehicle (NSV) with actuator faults is investigated in this paper. First, the nonlinear NSV attitude dynamics is given, which can represent the dynamic characteristics of NSV in both ascent and re-entry phases. The actuator fault under consideration in this study is the loss of effectiveness, and a novel fault detection scheme is presented by designing a nonlinear fault detection observer. In terms of fault detection information and multiobserver technique, a fault isolation scheme is proposed. Taking advantage of a fuzzy logic system (FLS) to approximate the unknown nonlinear function, an adaptive FLS-based faulttolerant tracking control law is developed to achieve asymptotic output tracking and closedloop stability of NSV attitude dynamics in spite of the actuator faults. Simulation results are provided to illustrate the feasibility of the proposed fault-tolerant tracking control approach.

In this article a new reactive mechanism based on perception-action dynamics for multi-sensory integration applied to an intelligent missile guidance system is proposed. The strategy is inspired by the olfactory bulb neural activity observed in rabbits subject to external stimuli. The new missile guidance technique exploits the use of a multiscroll chaotic system which is able to be controlled in real-time towards less complex orbits, such as periodic orbits or equilibrium points, considered as perceptive orbits. These are subject to real-time modifications on the basis of environmental changes acquired through a synthetic aperture radar sensory system. The mathematical details of the approach are given including simulation results in a virtual environment. The results demonstrate the capability of autonomous guidance for missile in complex spatial environments.

In this paper an innovative methodology for geometrical orientation and robot control is proposed. The innovative method exploits the use of multisensory integration applied to a chaotic cognitive system for a mobile robot which is able to be controlled in real-time towards less complex orbits, such as periodic orbits or equilibrium points, considered as perceptive orbits. The strategy is inspired by the olfactory bulb neural activity observed in rabbits subjected to external stimuli. These are subject to real-time modifications on the basis of environmental changes acquired through a distributed sensory system. The mathematical details of the approach are given including simulation results in different geometric environments. The obtained results also demonstrate the significant impact of different geometric cues on reorientation performance as well as spatial updating performance for autonomous robots. Furthermore, the robot's reorientation performance is approximately inversely proportional to the rotational symmetry of the environment, whereas the spatial updating performance is equally good in angular environments but worse in a circular environment.

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