Free-space optical communication is emerging as a low-power, low-cost, and high data rate alternative to radio-frequency in short- medium-range applications. However, it requires close-to-line-of-sight link between the transmitter receiver. This paper proposes robust H∞ control law for free-space (FSO) beam pointing error systems under controlled weak turbulence conditions. The objective mainta...

The paper investigates the closed-loop stability issue of finite-precision realizations for digital controllers implemented in floating-point arithmetic. Unlike the existing methods which only address the effect of the mantissa bits in floating-point format to the sensitivity of closed-loop stability, the sensitivity of closed-loop stability is analyzed with respect to both the mantissa and exp...

In this paper, a discontinuous state-feedback law is proposed for the stabilization of nonholonomic systems in power form. The feedback law is based on a receding-horizon strategy in which the open-loop optimization problem is a minimum-time steering process. Suboptimal formulations are used explicitly to meet the real-time implementability requirements. Stability is established in a sampleddat...

Computational Alignment is a new class of program transformations suitable for both local and global optimization. Computational Alignment transforms all of the computations of a portion of the loop body in order to align them to other computations either in the same loop or in another loop. It extends along a new dimension and is signiicantly more powerful than linear transformations because i...

The layout of irrigation water distribution networks is usually branched. In most of the previous studies pipe sizes of the network had been optimized assuming a predetermined layout of the distribution system. However, only few researches have focused on the simultaneous layout and pipe size optimization. In this study a hybrid approach is adapted for simultaneous layout and pipe size optimiza...

In this paper we propose a method for optimization of closed-loop parameters and continuous-time sampling period by digital self-tuning PID control of pressure plant. The quality of pressure plant control is experimentally compared between two modifications of digital self-tuning PID controllers. The results of adaptive pressure plant control show that the optimization of closed-loop parameters...

Selective fluorescence excitation of specific molecular species is demonstrated by using coherent control of two-photon excitation with supercontinuum pulses generated with a microstructure fiber. Pulse shaping prior to pulse propagation through the fiber is controlled by a self-learning optimization loop so that the highest fluorescence signal contrast between two fluorescent proteins is obtai...

In this paper we present a new loop transformation technique called Computation Decomposition and Alignment (CDA). Computation Decomposition rst decomposes the iteration space into ner computation spaces. Computation Alignment subsequently, linearly transforms each computation space independently. CDA is a general framework in that linear transformations and its recent extensions are just speci...

Computational Alignment is a new class of program transformations suitable for both local and global optimization. Computational Alignment transforms all of the computations of a portion of the loop body in order to align them to other computations either in the same loop or in another loop. It extends along a new dimension and is signiicantly more powerful than linear transformations because i...

. In this paper, we address the dense-sparse matrix product (DSMP) problem i.e. where the first matrix is dense and the second is sparse. We first present initial versions of loop nest structured algorithms corresponding to the most used sparse matrix storing formats i.e. DNS, CSR, CSC and COO. Afterwards, we derive several versions obtained by applying loop interchange techniques, loop invaria...