coarse tuning of an MVS system by analyzing it into its software and hardware components and increasing their eficiency successively. The method involves adjustments to swapping, the inputoutput load, the CPU load, main storage, and the system resources manager. Also discussed are performance measures necessary to characterize a system, tools to tune a system, and various aspects of data gather...

We present a powerful procedure for determining both the dominant dynamics of the inputoutput transfer and the corresponding most influential circuit parameters of a linear(ized) circuit. The procedure consists of several steps in which a specific (sub)problem is solved and its solution is used in the next step. We combine regression tools techniques and trade off analysis with recent technique...

The salient feature of the composition operators for Gamma programs is that for termination, the parallel composition operator demands that its operands must terminate synchronously. This paper studies the inequational partial correctness properties of the combination of sequential and parallel composition operators for Gamma programs, provable from a particular compositional semantics (Brookes...

The swing-up control of a triple pendulum on a cart is presented, where the controller is based on a two-degrees-of-freedom scheme consisting of a nonlinear feedforward controller and an optimal feedback controller. The point-to-point transition task is treated as a nonlinear two-point boundary value problem with free parameters resulting from the suitably projected inputoutput dynamics. The ma...

In this paper, we adapt the classical learning algorithm for feed-forward neural networks when monotonicity is required in the inputoutput mapping. Monotonicity can be imposed by adding of suitable penalization terms to the error function. This yields a computationally efficient algorithm with little overhead compared to back-propagation. This algorithm is used to train neural networks for dela...

This paper introduces a dynamics simulator designed to aid the development of control algorithms for biologically inspired robots. We describe the simulator and a two-tier framework for control code interfacing that allows control code to be written in a standard object-oriented language (C++), but encapsulates such code to produce modular, reusable, distributed controllers with parameterizable...

A system is frequently represented by transfer functions in an inputoutput characterization. However, such a system (under mild assumptions) can also be represented by transfer functions in a port characterization, frequently referred to as a chain-scattering representation. Due to its cascade properties, the chain-scattering representation is used throughout many fields of engineering. This pa...

The design of MIMO PI controller is formulated as an LQR problem. The weighting matrices of the quadratic performance index are chosen so that tuning can be done for each inputoutput channel and for tradeoff between transient response and robustness with respect to modeling error. The number of tuning parameters is the same as that of a decentralized PI controller. A d&ign example is given to d...

This article develops iterative machine learning (IML) for output tracking. The inputoutput data generated during iterations to develop the model used in the iterative update. The main contribution of this article to propose the use of kernel-based machine learning to iteratively update both the model and the model-inversion-based input simultaneously. Additionally, augmented inputs with persis...

An algorithm for the identification of a multi-input single-output (MISO) Box-Jenkins model is developed. The method consists of several simple steps: first a high order ARX model is estimated; then the process model is calculated using the so-called Steiglitz-McBride iteration on the filtered inputoutput data; and finally the disturbance model is calculated by estimating an ARMA model of the o...