A finite-time stability theorem of stochastic nonlinear systems and stabilization designs

This paper focuses on the finite-time stability and stabilization designs of stochastic nonlinear systems. We first present and discuss a definition on the finite-time stability in probability of stochastic nonlinear systems, then we introduce a stochastic Lyapunov theorem on the finite-time stability, which has been established by Yin et al. We also employ this theorem to design a continuous state feedback controller that makes a class of stochastic nonlinear systems to be stable in finite time. An example and a simulation are given to illustrate the theoretical analysis.

Colonial designs: Thomas Karsten and the planning of urban Indonesia

Thomas Karsten (1885 – 1945) is undoubtedly a major figure in the history of architecture and town planning in Indonesia. Between 1915 and 1941 he was involved in town planning in 12 of the 19 municipalities and towns in Java (the most prominent exception being Surabaya) 3 of the 9 towns in Sumatra, and the only town in Borneo This paper does not attempts to investigate or question his importance in this field but to place his architectural and town planning ideas in the context of his broader politico-cultural ideas and activities in the Dutch East Indies between 1914 and 1942, and these, in turn, in the context of an evolving colonialism and colonial discourse.

Research designs and scientific identity in marketing journals: review and evaluation

Purpose - This research is based upon the assumption that the empirical research designs and the scientific identity of a journal are related. The objective is to review and evaluate the empirical research design of papers to determine the scientific identity of a selection of academic marketing journals. Design/methodology/approach – The journal sample consists of the Australasian Marketing Journal (AMJ), the European Journal of Marketing (EJM) and the Journal of Marketing (JM). The review and evaluation considers a six-year period, namely 2000-2005. The content analysis consisted of 811 papers. Findings – The scientific identity of JM may be seen as built upon quantitative research designs and the North American paradigm of research values. The scientific identity of AMJ is based upon a mix of empirical research designs and the Australian paradigm of research values. The scientific identity of EJM is also based upon a mix of empirical research designs, but a multi-continental paradigm of research values. Research limitations/implications – The leading continental journals in marketing maintain a scientific identity based upon the continental paradigm of research values. If it is driven to the extremes, a paradigmatic myopia and inertia of research designs may evolve that limit the scientific identity to be dogmatic and narrow-focused rather than variable and broad-focused. Originality/value – A cross-continental eview and evaluation of research designs and scientific identity of academic marketing journals is presented.

Fuzzy terminal attitude guidance controller with angle only measurements

This paper introduces the concept of terminal attitude guidance as an alternative to precision guidance and uses fuzzy control ideas in designing a control strategy for a pursuer in countering a manoeuvreing target. The fuzzy controller uses only angle measurements in the control strategy and produces satisfactory results in comparison to the LQR or H∞ type guidance controllers, although they were addressed in a precision guidance context. Both 2D and 3D cases have been considered.

The impact of cell formation on layout designs in cellular manufacturing

This paper provides a procedure to address all three phases of the design for cellular manufacturing namely parts/machines grouping, intra-cell and inter-cell layout designs concurrently. It provides a platform to investigate the impact of the cell formation method on intracell and inter-cell layout designs and vice versa by generating multiple efficient layout designs for different cell partitioning strategies. This approach enables the decision maker to have wider choices with regard to the different number of cells and to assess various criteria such as travelling cost, duplication of machines, space requirement against each alternative. The performance of the model is demonstrated by applying it to an example selected from literature.

Eccentricity and hardness control in cold rolling mills with a dynamically constructed neural controller

The main objective of a steel strip rolling process is to produce high quality steel at a desired thickness.  Thickness reduction is the result of the speed difference between the incoming and the outgoing steel strip and the application of the large normal forces via the backup and the work rolls.  Gauge control of a cold rolled steel strip is achieved using the gaugemeter principle that works adequately for the input gauge changes and the strip hardness changes.  However, the compensation of some factors is problematic, for example, eccentricity of the backup rolls.  This cyclic eccentricity effect causes a gauge deviation, but more importantly, a signal is passed to the gap position control so to increase the eccentricity deviation.  Consequently, the required high product tolerances are severely limited by the presence of the roll eccentricity effects.
In this paper a direct model reference adaptive control (MRAC) scheme with dynamically constructed neural controller was used.  The aim here is to find the simplest controller structure capable of achieving an optimal performance.  The stability of the adaptive neural control scheme (i.e. the requirement of persistency of excitation and bounded learning rates) is addressed by using as the inputs to the reference model the plant's state variables.  In such a case, excitation is due to actual plant signals (states) affected by plant disturbances and noise.  In addition, a reference model in the form of a filter with a desired transfer function using Modulus Optimum design was used to ensure variance in the desired dynamic characteristics of the system.  The gradually decreasing learning rate employed by the neural controller in this paper is aimed at eliminating controller instability resulting from over-aggressive control.  The moving target problem (i.e. the difficulty of global neural networks to perfrom several separate computational tasks in closed -loop control) is addressed by the localized architecture of the controller.  The above control scheme and learning algorithm offers a method for automatic discovery of an efficient controller.
The resulting neural controller produces an excellent disturbance rejection in both cases of eccentricity and hardness disturbances, reducing the gauge deviation due to eccentricity disturbance from 33.36% to 4.57% on average, and the gauge deviation due to hardness disturbance from 12.59% to 2.08%.