The proceedings contain 167 papers. The topics discussed include: on initialization of adaptation in active noise control;MARAAL: a low altitude long endurance solar powered UAV for surveillance and mapping applicatio...
ISBN:
(纸本)9781538643259
The proceedings contain 167 papers. The topics discussed include: on initialization of adaptation in active noise control;MARAAL: a low altitude long endurance solar powered UAV for surveillance and mapping applications;implementation of the FOPID algorithm in the PLC controller - PWR thermal power control case study;on polynomial zero exclusion from an RHP sector;toward a framework for evaluation of cache-based decision making process;minimum energy control of fractional linear systems;extremal problems for parabolic systems with multiple time-varying lags;new approach to accuracy measurement of the membrane shape mapping of the heart assist pump;an enumerative algorithm for a two-machine preemptive job scheduling with a learning effect;and fast two-level image indexing based on local interest points.
This article presents a specific part of current trends in autonomous robotics. It pays special attention to the basic aspects of cognitive architecture. After a brief introduction, we shortly describe the Intelligent...
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ISBN:
(纸本)9781538643259
This article presents a specific part of current trends in autonomous robotics. It pays special attention to the basic aspects of cognitive architecture. After a brief introduction, we shortly describe the Intelligent System of Decision-making developed at the Gdansk University of Technology.
In this paper a few methods of accelerating computations of an inverse kinematic task for robot manipulators are discussed and compared. The methods adapt known ideas to the domain of robotics, and rely on an approxim...
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ISBN:
(纸本)9781538643259
In this paper a few methods of accelerating computations of an inverse kinematic task for robot manipulators are discussed and compared. The methods adapt known ideas to the domain of robotics, and rely on an approximation of inverse matrices, that are computed in each iteration of the Newton algorithm of inverse kinematics, with much computationally cheaper matrix polynomials. The computational efficiency of the methods is illustrated on planar pendula with a varied degree of redundancy.
In this paper we present a numerical solution of a one-dimensional subdiffusion equation with a fractional time derivative in the Caputo sense. The proposed algorithm is an extension of the Crank-Nicolson method for a...
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ISBN:
(纸本)9781538643259
In this paper we present a numerical solution of a one-dimensional subdiffusion equation with a fractional time derivative in the Caputo sense. The proposed algorithm is an extension of the Crank-Nicolson method for a classical parabolic partial differential equation. In the final part, we also present examples illustrating the comparison of the analytical solution with the results received by the proposed numerical method.
The paper deals with the output observation problem for a class of distributed parameter systems. We describe the design procedure by deriving sufficient conditions to be satisfied by a functional observer which does ...
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ISBN:
(纸本)9781538643259
The paper deals with the output observation problem for a class of distributed parameter systems. We describe the design procedure by deriving sufficient conditions to be satisfied by a functional observer which does the job. The plant is described by a state space model with the system operator generating a strongly continuous group. We assume that both the input and the output operators of the plant and the observer are bounded.
This paper describes development of a control system for a heavy self-balancing two-wheeled robot. The development process includes: model identification, model tuning, design and tuning of a Model Predictive Control ...
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ISBN:
(纸本)9781538643259
This paper describes development of a control system for a heavy self-balancing two-wheeled robot. The development process includes: model identification, model tuning, design and tuning of a Model Predictive Control (MPC) algorithm. Although a simple linear state-space model with only two state variables is used, the results of laboratory experiments clearly indicate that the MPC algorithm based on such a model works well, i.e. the algorithm is able to effectively stabilise the robot.
The mathematical preliminaries of the pole-free perfect control is discussed in this paper. Also the intriguing differences between the pole-free perfect control theory and presented simulation examples are shown. Alt...
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ISBN:
(纸本)9781538643259
The mathematical preliminaries of the pole-free perfect control is discussed in this paper. Also the intriguing differences between the pole-free perfect control theory and presented simulation examples are shown. Although, the pole-free phenomenon is described only for a range of state-space systems so far, the first attempt of generalization of this maximum-speed/maximum-accuracy control algorithm is made in this paper.
In the paper properties of adaptive feedforward active noise control systems with adaptation based on LMS algorithm are discussed from the point of view of initialization of adaptation. A focus on average rate of conv...
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ISBN:
(纸本)9781538643259
In the paper properties of adaptive feedforward active noise control systems with adaptation based on LMS algorithm are discussed from the point of view of initialization of adaptation. A focus on average rate of convergence of the corresponding active noise control algorithms is given. The ideas presented are illustrated by simulation examples in which mixed spectrum and wide-band noises are attenuated.
An Extreme Learning Machine (ELM) - a neural network with fixed hidden layer and adjustable output weights is able to solve complicated regression (approximation) problems, but the standard selection of input weights ...
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ISBN:
(纸本)9781538643259
An Extreme Learning Machine (ELM) - a neural network with fixed hidden layer and adjustable output weights is able to solve complicated regression (approximation) problems, but the standard selection of input weights and biases may lead to ill-conditioning of the output weights calculation and result in high values of the output weights. Two modifications of standard ELM are discussed: deterministic generation of hidden nodes parameters and modifications of activation functions to improve numerical properties of the algorithm.
In this paper the time optimal sliding mode controller for the second order systems with uncertainties is introduced. A time-varying sliding line is proposed, in order to eliminate the influence of perturbations for t...
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ISBN:
(纸本)9781538643259
In this paper the time optimal sliding mode controller for the second order systems with uncertainties is introduced. A time-varying sliding line is proposed, in order to eliminate the influence of perturbations for the whole regulation process. Moreover, it is selected to ensure the finite-time convergence of the regulation error to zero. The regulation time is minimized with respect to the control signal and velocity constraints.
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