In this paper, an iterative technique is proposed to solve linear integrated active/passive design problems. The optimality of active and passive parts leads to the nonlinear algebraic Riccati equation due to the active parameters and some associated additional Lyapunov equations due to the passive parameters. Rather than the solution of the nonlinear algebraic Riccati equation, it is proposed ...

The emerging need for more power has led to the development of series-parallel connected battery cells. Having a more complex system also brought with it new challenges. One of these is the problem of cell imbalance. Balancing algorithms are based on extracting or adding charge in order to have balanced cells. Their goal is to protect the battery from damage and to help prolong the battery’s li...

Active Isolated Stretching began to develop in 1970. What began as an attempt to find specific techniques to alleviate pain and improve everyday performance 40 years ago has developed into the scientific based art of isolated movement that we may experience today. The educational background in physiology, kinesiology and functional anatomy provided the basis for the innovative therapeutic techn...

The minimization of an objective function over a constraint set can often be simplified if the “active manifold” of the constraints set can be correctly identified. In this work we present a simple subproblem, which can be used inside of any (convergent) optimization algorithm, that will identify the active manifold of a “prox-regular partly smooth” constraint set in a finite number of iterations.

The active learning method (ALM), proposed as a methodology of soft computing, simulates human learning and inferencing processes on the basis of fuzzy concepts. This paper presents a hardware implementation of ALM. ALM has processing engines called IDS, which are tasked with extracting useful information from a system subject to modeling. In realizing ALM in hardware, it will be desirable in t...