More efficient data compression can be achieved in encoding line drawings by vector chain coding (VCC) than by the traditional runlength coding (RLC), provided the total length of the lines within a line drawing is no...
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More efficient data compression can be achieved in encoding line drawings by vector chain coding (VCC) than by the traditional runlength coding (RLC), provided the total length of the lines within a line drawing is not excessive. More bandwidth or time can thus be saved in transmitting such pictures by using VCC. Although this has so far been established only intuitively, quantitative analysis and comparison of the coding efficiency of these two codes for line drawings are performed in this paper. The coding efficiency is measured in terms of both per-length coding rate and data compression ratio, which are determined for a class of handwritten line drawings characterised by a proper statistical model. In particular, the critical point of line drawing complexity is derived at which VCC becomes less efficient than RLC. Experimental observations are also presented to verify the theoretical results.
Coherent cumulation of interference signals is modelled in an environment of Rayleigh fading and log-normal shadowing under the influence of near-far effect. The interference model is used to investigate the performan...
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Coherent cumulation of interference signals is modelled in an environment of Rayleigh fading and log-normal shadowing under the influence of near-far effect. The interference model is used to investigate the performance of mobile packet radio networks using the inhibit-sense multiple access protocol. Numerical results are presented, indicating the effect of individual and combined propagation impairments on channel capacity. It is shown that the combined effect of propagation impairments of the real channel enhances the channel capacity.
Dynamic networks are structured interconnections of dynamical systems driven by external excitation and disturbance signals. We develop the notion of network identifiability, a property of a parameterized model set th...
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In dynamic network identification a major goal is to uniquely identify the topology and dynamic links between the measured node variables. It is common practice to assume that process noises affect every output in mul...
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Structural aspects are studied of nonlinear controlsystems in a setting of differentiable manifolds. As a generalization of the setup commonly used in linear multivariable control, the regulator problem is defined as...
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Structural aspects are studied of nonlinear controlsystems in a setting of differentiable manifolds. As a generalization of the setup commonly used in linear multivariable control, the regulator problem is defined as that of controlling a fixed plant to track (or reject) reference (or disturbance) signals generated by a fixed dynamic model called the exosystem. It is shown that, if the controller is error-driven, if perfect tracking is achieved in the limit t \rightarrow \infty , and if a suitable observability condition is present, then the controller necessarily incorporates a copy (internal model) of the exosystem dynamics. This result represents a counterpart in the nonlinear differentiable setting to various results already known for linear systems and for abstract automata.
The "geometric" theory of [1] is extended to a universal algebraic setting. Of central interest are the subalgebra and congruence lattices of the state algebra: for example, distinguished systems objects suc...
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The "geometric" theory of [1] is extended to a universal algebraic setting. Of central interest are the subalgebra and congruence lattices of the state algebra: for example, distinguished systems objects such as the reachability subalgebra are extremal fixpoints of mappings defined on these lattices. Conditions are given for the solvability of an abstract disturbance decoupling problem.
A series of piecewise multiple general orthogonal polynomials (PMGOPs) is introduced and applied to the parameter identication problem for a class of continuous nonlinear systems. After introducing PMGOPs and discussi...
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A series of piecewise multiple general orthogonal polynomials (PMGOPs) is introduced and applied to the parameter identication problem for a class of continuous nonlinear systems. After introducing PMGOPs and discussing their main properties, an effective procedure for the parameter identification of a large class of continuous systems, called parameter separable systems, is proposed. Some relevant algorithms are presented. The procedure given in the paper has the following advantages compared with other methods: the identification algorithm (IA) obtained is computationally fast and accurate;the IA can be implemented in a recursive fashion;the IA is effective for a small number of data points;the IA does not require a priori knowledge of the estimated parameters;the IA is tolerant to choices of expanding orders when PMGOPs are applied. Some numerical examples, together with an experimental example taken from a biochemical fermentation process, are given for illustrative purposes.
Most existing generation scheduling models for power systems under demand uncertainty rely on energy-based formulations with a finite number of time periods, which may fail to ensure that power supply and demand are b...
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This paper refers to the fast implementation of the positional forward acceleration of the end effector of revolute robotic arms with spherical wrists, using the distributed arithmetic technique. The acceleration of t...
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This paper refers to the fast implementation of the positional forward acceleration of the end effector of revolute robotic arms with spherical wrists, using the distributed arithmetic technique. The acceleration of the end effector is calculated by a cascade configuration of two pipelined arrays that calculate the Jacobian matrix and its time derivative, as well as the centrifugal-Coriolis and linear accelerations. These partial accelerations are then added in the adder tree. The building blocks of the arrays are the distributed arithmetic-based circuits that implement the matrix-vector multiplications involved in the calculations. The digit-serial configuration of the proposed implementation of the positional forward acceleration of the end effector is described. The serial and the parallel configurations may result as special cases of the digit-serial configuration. The proposed distributed arithmetic (DA) implementation of the positional forward acceleration may be applied, after appropriate modifications, to the general case of robots having either revolute or prismatic joints, with any type of wrist.
作者:
Bonitz, RGHsia, TCSystems
Controland Robotics LaboratoryDepartment of Electrical and Computer Engineering University of California Davis CA USA
An internal force-based impedance control scheme for cooperating manipulators is introduced which controls the motion of the objects being manipulated and the internal force on the objects. The controller enforces a r...
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An internal force-based impedance control scheme for cooperating manipulators is introduced which controls the motion of the objects being manipulated and the internal force on the objects. The controller enforces a relationship between the velocity of each manipulator and the internal force on the manipulated objects. Each manipulator is directly given the properties of an impedance by the controller;thus, eliminating the gain limitation inherent in the structure of previously proposed schemes. The controller uses the forces sensed at the robot end effecters to compensate for the effects of the objects' dynamics and to compute the internal force using only kinematic relationships. Thus, knowledge of the objects' dynamics is not required. Stability of the system is proven using Lyapunov theory and simulation results are presented validating the proposed concepts. The effect of computational delays in digital control implementations is analyzed vis-a-vis stability and a lower bound derived on the size of the desired manipulator inertia relative to the actual manipulator endpoint inertia. The bound is independent of the sample time.
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