In this paper,an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First,by co...
详细信息
In this paper,an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First,by constructing a modified Lyapunov-Krasovskii functional,a mean-square exponential stability condition for the above systems is presented in terms of linear matrix inequalities (LMIs). Here,the decay rate can be a finite positive constant in a range and the derivative of time-varying delays is only required to have an upper bound which is not required to be less than 1. Then,based on the proposed stability condition,a delayed-state-feedback controller is designed. Finally,numerical examples are presented to illustrate the effectiveness of the theoretical results.
This paper provides consensus analysis for networked continuous-time multi-agent systems via sampled control. The sampled control protocol is induced from a continuous-time consensus protocol by using periodic samplin...
详细信息
ISBN:
(纸本)9781424477456
This paper provides consensus analysis for networked continuous-time multi-agent systems via sampled control. The sampled control protocol is induced from a continuous-time consensus protocol by using periodic sampling technology and zero-order hold circuit. Meanwhile, time-varying delay that can be both smaller and larger than the sampling interval is taken into account. Based on graph theory and stability theory, a sufficient condition is proposed to guarantee the consensus achievement under the condition that communication channels suffer from time-varying delay. The main contribution of this paper is to provide a valid distributed consensus algorithm that explicitly describes which state information may be received in the concerning sampling interval. The results are illustrated by some simulations.
The paper presents a target tracking algorithm which is based on the mean shift algorithm and the normalized moment of inertia (NMI) feature, because the result of the moving target tracking in the air is not satisfac...
详细信息
This paper investigates the problem of robust exponential admissibility for a class of continuous-time uncertain switched singular systems with interval time-varying delay. By defining a properly constructed decay-rat...
详细信息
This paper investigates the problem of robust exponential admissibility for a class of continuous-time uncertain switched singular systems with interval time-varying delay. By defining a properly constructed decay-rate-dependent Lyapunov function and the average dwell time approach, a delay-range-dependent sufficient condition is derived for the nominal system to be regular, impulse free, and exponentially stable. This condition is also extended to uncertain case. The obtained results provide a solution to one of the basic problems in continuous-time switched singular time-delay systems, that is, to identify a switching signal for which the switched singular time-delay system is regular, impulse free, and exponentially stable. Numerical examples are given to demonstrate the effectiveness of the obtained results.
The conventional constrained least squares constant modulus algorithm (LSCMA) can suffer significant performance degradation in the presence of the slight mismatches between the actual and assumed signal steering vect...
详细信息
ISBN:
(纸本)9781424483754
The conventional constrained least squares constant modulus algorithm (LSCMA) can suffer significant performance degradation in the presence of the slight mismatches between the actual and assumed signal steering vectors. In this paper, to combat the mismatches, a novel robust constrained LSCMA is proposed for implementing double constraints with Taylor-series expansion and Lagrange multipliers method, which is based on explicit modeling of uncertainties in the desired signal array response. The proposed robust constrained LSCMA provides an improved robustness against the signal steering vector mismatches, enhances the array system performance under random perturbations in sensor parameters and makes the mean output array SINR consistently close to the optimal one. Computer simulations demonstrate a visible performance gain of the proposed algorithm compared as linear constrained LSCMA algorithm.
This paper considers the stabilization of random Boolean networks. We first give a survey on the semi-tensor product approach to Boolean (control) networks, which is a new technique developed by us. Particularly, the ...
详细信息
This paper considers the stabilization of random Boolean networks. We first give a survey on the semi-tensor product approach to Boolean (control) networks, which is a new technique developed by us. Particularly, the stability and stabilization of Boolean (control) networks are reviewed. Then, under the same framework, the topological structure of the random Boolean networks is investigated and revealed. Using it the stabilization of random Boolean networks is considered. A sufficient condition is provided. A stabilizer design method is proposed.
A variable structure neural network adaptive robust control (VSNNARC) is proposed for a class of uncertain nonlinear SISO systems. A neural network which is adjusted by using nodes activation and passivation technique...
详细信息
This paper presents an adaptive robust dynamic surface control (ARDSC) algorithm for the position control of DC torque motors which are modeled as third-order nonlinear systems with parametric and nonlinear uncertaint...
详细信息
ISBN:
(纸本)9781424474264
This paper presents an adaptive robust dynamic surface control (ARDSC) algorithm for the position control of DC torque motors which are modeled as third-order nonlinear systems with parametric and nonlinear uncertainties. Based on the dynamic surface control (DSC) approach, the "explosion of terms" problem in the normal adaptive robust control (ARC) is avoided, which enhances the practicability of the controller. Furthermore, besides theoretically proving that the tracking error is uniformly ultimate bounded or asymptotically converge to zero in presence of parametric uncertainties only, the true estimates of the unknown parameters are achieved by designing a novel adaptation law, which improves the system performance and can be used in system monitor and diagnosis on-line as byproducts. Finally, the comparative simulation results illustrate that the proposed algorithm is very effective.
The distribution of wealth among individuals in real society can be well described by the Pareto principle or “80-20 rule.” How does such heterogeneity in initial wealth distribution affect the emergence of public c...
详细信息
The distribution of wealth among individuals in real society can be well described by the Pareto principle or “80-20 rule.” How does such heterogeneity in initial wealth distribution affect the emergence of public cooperation, when individuals, the rich and the poor, engage in a collective-risk enterprise, not to gain a profit but to avoid a potential loss? Here we address this issue by studying a simple but effective model based on threshold public goods games. We analyze the evolutionary dynamics for two distinct scenarios, respectively: one with fair sharers versus defectors and the other with altruists versus defectors. For both scenarios, particularly, we in detail study the dynamics of the population with dichotomic initial wealth—the rich versus the poor. Moreover, we demonstrate the possible steady compositions of the population and provide the conditions for stability of these steady states. We prove that in a population with heterogeneous wealth distribution, richer individuals are more likely to cooperate than poorer ones. Participants with lower initial wealth may choose to cooperate only if all players richer than them are cooperators. The emergence of pubic cooperation largely relies on rich individuals. Furthermore, whenever the wealth gap between the rich and the poor is sufficiently large, cooperation of a few rich individuals can substantially elevate the overall level of social cooperation, which is in line with the well-known Pareto principle. Our work may offer an insight into the emergence of cooperative behavior in real social situations where heterogeneous distribution of wealth among individual is omnipresent.
International negotiations of reducing CO2 emissions address the question of how to account annual CO2 emissions of each sector of one city. The aim of this study is to establish the CO2 inventories focused on the sup...
详细信息
International negotiations of reducing CO2 emissions address the question of how to account annual CO2 emissions of each sector of one city. The aim of this study is to establish the CO2 inventories focused on the supply chain emissions of CO2 emissions form each sector, e.g. agriculture, industry, transportation and tertiary industry. And to categorize upstream emission sources to identify the significant sectors that contribute the most to climate change. Moreover, IO-LCA method is chosen to evaluate the upstream carbon footprint and carbon dioxide emissions intensity of 28 economic sectors of Chongqing from 2002 to 2007. CO2 emissions the top-3 of which includes Transportation Equipment, Smelting and Pressing of Metals, Electricity, Steam Production and Supply, and CO2 emissions density the top-3 of which includes Coal Mining and Dressing, Nonmetal Minerals Mining and Dressing, Petroleum, Coking and Nuclear Fuel Processing.
暂无评论