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This paper proposes a fault-tolerant control (FTC) scheme for linear parameter-varying (LPV) systems based on integral sliding modes (ISMs) and control allocation (CA) and describes the implementation and evaluation of the controllers on a 6-degree-of-freedom research flight simulator called SIMONA. The FTC scheme is developed using an LPV approach to extend ideas previously developed for linear time-invariant systems, in order to cover a wide range of operating conditions. The scheme benefits from the combination of the inherent robustness properties of ISMs (to ensure sliding occurs throughout the simulation) and CA, which has the ability to redistribute control signals to all available actuators in the event of faults/failures. [ABSTRACT FROM PUBLISHER]

The problem of output optimization within a specified input space of neural networks (NNs) with fixed weights is discussed in this paper. The problem is (highly) nonlinear when nonlinear activation functions are used. This global optimization problem is encountered in the reinforcement learning (RL) community. Interval analysis is applied to guarantee that all solutions are found to any degree of accuracy with guaranteed bounds. The major drawbacks of interval analysis, i.e., dependency effect and high-computational load, are both present for the problem of NN output optimization. Taylor models (TMs) are introduced to reduce these drawbacks. They have excellent convergence properties for small intervals. However, the dependency effect still remains and is even made worse when evaluating large input domains. As an alternative to TMs, a different form of polynomial inclusion functions, called the polynomial set (PS) method, is introduced. This new method has the property that the bounds on the network output are tighter or at least equal to those obtained through standard interval arithmetic (IA). Experiments show that the PS method outperforms the other methods for the NN output optimization problem. [ABSTRACT FROM AUTHOR]

Presents information on a study which proposed a generalization of the class of dynamic translinear or exponential state-space circuits. Review of static and dynamic translinear principles; Description of the circuit design sample; Conclusions.

Describes a distortion syllabic companding translinear (TL) filters focusing on the use of the `analog floating-point technique.' Identification of an inherent characteristic of most TL filters; Detailed information on the technique used; Indepth look at TL filters.