62,195 research outputs found
Algorithm for Optimal Mode Scheduling in Switched Systems
This paper considers the problem of computing the schedule of modes in a
switched dynamical system, that minimizes a cost functional defined on the
trajectory of the system's continuous state variable. A recent approach to such
optimal control problems consists of algorithms that alternate between
computing the optimal switching times between modes in a given sequence, and
updating the mode-sequence by inserting to it a finite number of new modes.
These algorithms have an inherent inefficiency due to their sparse update of
the mode-sequences, while spending most of the computing times on optimizing
with respect to the switching times for a given mode-sequence. This paper
proposes an algorithm that operates directly in the schedule space without
resorting to the timing optimization problem. It is based on the Armijo step
size along certain Gateaux derivatives of the performance functional, thereby
avoiding some of the computational difficulties associated with discrete
scheduling parameters. Its convergence to local minima as well as its rate of
convergence are proved, and a simulation example on a nonlinear system exhibits
quite a fast convergence
All-optical 160 Gbit/s RZ data retiming system incorporating a pulse shaping fibre Bragg grating
We characterize a 160Gbit/s retimer based on flat-topped pulses shaped using a superstructured fibre Bragg grating. The benefits of using shaped rather than conventional pulse forms in terms of timing jitter reduction are confirmed by bit-error-rate measurements
Time domain add-drop multiplexing scheme enhanced using a saw-tooth pulse shaper
We experimentally demonstrate the use of saw-tooth optical pulses, which are shaped using a fiber Bragg grating, to achieve robust and high performance time-domain add-drop multiplexing in a scheme based on cross-phase (XPM) modulation in an optical fiber, with subsequent offset filtering. As compared to the use of more conventional pulse shapes, such as Gaussian pulses of a similar pulse width, the purpose-shaped saw-tooth pulses allow higher extinction ratios for the add and drop windows and significant improvements in the receiver sensitivity for the dropped and added channels
Generation of widely tunable picosecond pulses with large SMSR by externally injecting a gain-switched dual laser source
The authors demonstrate a procedure of generating picosecond optical pulses that are tunable over a wide wavelength range (65 nm) and have very high spectral purity side-mode suppression ratio [(SMSR)>60 dB]. The large tuning range is obtained by employing external injection into a gain-switched source containing two Fabry-Pe/spl acute/rot lasers. The use of a widely tunable Bragg grating at the output improves the SMSR such that it exceeds 60 dB over the entire tuning range
Reducing MOSFET 1/f Noise and Power Consumption by "Switched Biasing"
Switched biasing is proposed as a technique for reducing the 1/f noise in MOSFET's. Conventional techniques, such as chopping or correlated double sampling, reduce the effect of 1/f noise in electronic circuits, whereas the switched biasing technique reduces the 1/f noise itself. Whereas noise reduction techniques generally lead to more power consumption, switched biasing can reduce the power consumption. It exploits an intriguing physical effect: cycling a MOS transistor from strong inversion to accumulation reduces its intrinsic 1/f noise. As the 1/f noise is reduced at its physical roots, high frequency circuits, in which 1/f noise is being upconverted, can also benefit. This is demonstrated by applying switched biasing in a 0.8 Âżm CMOS sawtooth oscillator. By periodically switching off the bias currents, during time intervals that they are not contributing to the circuit operation, a reduction of the 1/f noise induced phase noise by more than 8 dB is achieved, while the power consumption is also reduced by 30
Objectives, stimulus and feedback in signal control of road traffic
This article identifies the prospective role of a range of intelligent transport systems technologies for the signal control of road traffic. We discuss signal control within the context of traffic management and control in urban road networks and then present a control-theoretic formulation for it that distinguishes the various roles of detector data, objectives of optimization, and control feedback. By reference to this, we discuss the importance of different kinds of variability in traffic flows and review the state of knowledge in respect of control in the presence of different combinations of them. In light of this formulation and review, we identify a range of important possibilities for contributions to traffic management and control through traffic measurement and detection technology, and contemporary flexible optimization techniques that use various kinds of automated learning
- âŠ