In this paper we set up a model of interacting drug epidemics by taking the ”direct-product” of variations on a one-dimensional optimal control model that exhibits a so-called DNSS or Skiba threshold. Such a threshold reflects in drug policy the well-established paradigm of ”eradication vs. accommodation”; that is, depending on the initial state, stabilizing a drug market at either a low or a h...

Aiming at the fundamental issue of optimal design of discrete levels of detail (LOD) for the visualization of complicated 3D building fac-ades, this paper presents a new quantitative analytical method of perceptible 3D details based on perceptual metric. First, the perceptual metric is defined as the quantitative indicator of the visual perceptibility of fac-ade details at a given viewing dista...

Abstract. This work concerns estimation of multidimensional nonlinear regression models using multilayer perceptron (MLP). The main problem with such model is that we have to know the covariance matrix of the noise to get optimal estimator. however we show that, if we choose as cost function the logarithm of the determinant of the empirical error covariance matrix, we get an asymptotically opti...

In this paper we investigate how the Square Kilometre Array (SKA) can aid in determining the evolutionary history of active galactic nuclei (AGN) from redshifts z = 0→ 6. Given the vast collecting area of the SKA, it will be sensitive to both ‘radio-loud’ AGN and the much more abundant ‘radio-quiet’ AGN, namely the radio-quiet quasars and their ‘Type-II’ counterparts, out to the highest redshif...

The subject of this paper is hybrid control of nonlinear systems with large-scale uncertainty. We describe a high-level controller, called a “supervisor”, which orchestrates logic-based switching among a family of candidate controllers. We show that in this framework, the problem of controller design at the lower level can be reduced to 8nding an integral-input-to-state stabilizing control law ...

Equipment manufacturers are increasingly selling complementary services such as remanufacturing services to their equipment customers. This servitization trend mandates that the remanufacturing supply chain network is optimized accordingly. In order to set up such network, investment decisions have to be made, not only regarding the number, locations and types of remanufacturing facilities, but...

We present a system for optimal control of dexterous manipulation. We use numerical optimization to automate the planning of the robot’s motion while reasoning about its effects on the object. The user specifies the high-level task (e.g., the desired effect on the object), and the optimization allows the robot to autonomously discover the low-level details of the motion that fulfils this task. ...

ARSTRACT In this paper, we investigate how to best optiniise the level of Work I n Progress (WIP) in ii real world factory. Using ii simulation model of the factory, we have been able to show that nn optimum level of WIP can be attained. By systematically varying the maximum allowable level of WIP within diffet-ent model runs, results show that the throughput reaches ii high level very quickly ...

We present a design and veriication methodology for hybrid dynamical systems. Our approach is based on optimal control and game theory. The hybrid design is seen as a game between two players. One is the disturbances that enter the dynamics. The disturbances can encode the actions of other agents (in a multi-agent setting), the actions of high level controllers or unmodeled environmental distur...

The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient formula in the classical discrete-time optimal control theory [1]. We detail the derivation in the spirit of dynamic programming, showing how they can serve to implement more elaborate learning whereby teacher signals ca...