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Convex Analysisの二,三の進展について

It is shown that, particularly for terrestrial cellular telephony, the interference-suppression feature of CDMA (code division multiple access) can result in a many-fold increase in capacity over analog and even over competing digital techniques. A single-cell system, such as a hubbed satellite network, is addressed, and the basic expression for capacity is developed. The corresponding expressions for a multiple-cell system are derived. and the distribution on the number of users supportable per cell is determined. It is concluded that properly augmented and power-controlled multiple-cell CDMA promises a quantum increase in current cellular capacity. >

On the capacity of a cellular CDMA system

This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct.

Coverage control for mobile sensing networks

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Flow The Psychology Of Optimal Experience

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Biomechanics And Motor Control Of Human Movement

Brief paper: Adaptive neural network tracking control for manipulators with uncertain kinematics, dynamics and actuator model

This paper studies the containment control of multiagent systems (MASs) with multiple dynamic leaders in both continuous-time domain and discrete-time domain. The leaders’ motions are described by the ${n}$ th-order polynomial trajectories. This setting makes practical sense because given some critical points, the leaders’ trajectories are usually planned by the polynomial interpolations. In order to drive all followers into the convex hull spanned by the leaders, a PI $^{{n}}$ -type containment algorithm is proposed ( ${P}$ and ${I}$ are short for proportional and integral, respectively; ${I} ^{{n}}$ implies that the algorithm includes up to the ${n}$ th-order integral terms). It is theoretically proved that the PI $^{{n}}$ -type containment algorithm is able to solve the containment problem of MASs where the followers are described by any order integral dynamics. Compared to the previous results on the MASs with dynamic leaders, the distinguished features of this paper are that: 1) the containment problem is studied not only in the continuous-time domain but also in the discrete-time domain while most existing results only work in the continuous-time domain; 2) to deal with the leaders with the ${n}$ th-order polynomial trajectories, existing results require the follower’s dynamics to be the ( ${n}{+}$ 1)th-order integral while the followers considered in this paper can be described by any-order integral dynamics; 3) the “sign” function is not employed in the proposed algorithm, which avoids the chattering phenomenon; and 4) both disturbance and measurement noise are taken into account. Finally, some simulation examples are given to demonstrate the effectiveness of the proposed algorithm.

Containment Control of Multiagent Systems With Dynamic Leaders Based on a $PI^{n}$ -Type Approach

This paper investigates the problem of velocity-free attitude coordination control for a group of spacecraft with attitude represented by modified Rodrigues parameters. The communication flow among neighbor spacecraft is described by an undirected connected graph. Two velocity-free attitude coordination control schemes are proposed. By employing linear reduced-order observers, robust control and Chebyshev neural networks, the first velocity-free control scheme allows a group of spacecraft to simultaneously align their attitude and track a time-varying reference attitude even in the presence of unknown mass moment of inertia matrix and external disturbances, where all spacecraft have access to the common reference attitude. The second control law guarantees a group of spacecraft to track a time-varying reference attitude without requiring velocity measurements even when the common reference attitude is available only to a subset of the group members. Furthermore, the stability of the overall closed-loop system for both control laws is guaranteed by a Lyapunov-based approach. Finally, numerical simulations are presented to demonstrate the performance of the proposed controllers.

Attitude Coordination Control for a Group of Spacecraft Without Velocity Measurements

Attitude Coordination Control for a Group of Spacecraft Without Velocity Measurements (vol 20, pg 1160, 2012)

In this paper we apply harmony data smoothing learning on a weighted kernel density model to obtain a sparse density estimator. We empirically compare this method with the least squares cross-validation (LSCV) method for the classical kernel density estimator. The most remarkable result of our study is that the harmony data smoothing learning method outperforms LSCV method in most cases and the support vectors selected by harmony data smoothing learning method are located in the regions of local highest density of the sample.

Zeng-Guang Hou

Papers

Brief paper: Adaptive neural network tracking control for manipulators with uncertain kinematics, dynamics and actuator model

Containment Control of Multiagent Systems With Dynamic Leaders Based on a $PI^{n}$ -Type Approach

Attitude Coordination Control for a Group of Spacecraft Without Velocity Measurements

Attitude Coordination Control for a Group of Spacecraft Without Velocity Measurements (vol 20, pg 1160, 2012)

Advances in Neural Networks – ISNN 2007