The state estimation problem is investigated for a class of discrete-time networked systems with uncertainty and nonlinearity via a coding-decoding communication approach. The signal is transmitted through digital cha...
详细信息
ISBN:
(纸本)9781728158556
The state estimation problem is investigated for a class of discrete-time networked systems with uncertainty and nonlinearity via a coding-decoding communication approach. The signal is transmitted through digital channels, which means that only the sequence of finite coded data is sent to the estimator. To be specific, the observation must be encoded to certain codewords by designing a coder, and then the received codewords are decoded by the relevant decoder. The purpose of the addressed problem is to design a proper coding-decoding procedure such that the estimator error is asymptotically stable across the limited capacity of the communication channel. By applying a modified uniform quantization approach, sufficient detection conditions involving the size of the coding alphabet and the coding period are obtained. Subsequently, the estimator parameter is explicitly determined in terms of the solutions to a set of matrix inequalities. Finally, a simulation example is provided to demonstrate the effectiveness of the obtained results.
Phase-shift keying (PSK) has been demonstrated as an efficient modulation format for long-haul high-bit-rate optical transmission systems. Differential encoding between successive PSK symbols is required for practical...
详细信息
Phase-shift keying (PSK) has been demonstrated as an efficient modulation format for long-haul high-bit-rate optical transmission systems. Differential encoding between successive PSK symbols is required for practical implementations in both coherent and direct detection. However, this kind of encoding increases the input bit error rate of the forward error correction (FEC) and thus affects its performance. In order to reduce the penalties induced by differential encoding, the authors, in this study, propose a structured symbol interleaving of the FEC codewords and the corresponding decoding algorithm. The authors' scheme allows obtaining a decoding complexity reduction of 50% compared to the usual decoding method and a redundancy reduction about 25% without any loss of performance.
The state estimation problem is investigated for a class of discrete-time networked systems with uncertainty and nonlinearity via a coding-decoding communication *** signal is transmitted through digital channels,whic...
详细信息
The state estimation problem is investigated for a class of discrete-time networked systems with uncertainty and nonlinearity via a coding-decoding communication *** signal is transmitted through digital channels,which means that only the sequence of finite coded data is sent to the *** be specific,the observation must be encoded to certain codewords by designing a coder,and then the received codewords are decoded by the relevant *** purpose of the addressed problem is to design a proper coding-decoding procedure such that the estimator error is asymptotically stable across the limited capacity of the communication *** applying a modified uniform quantization approach,sufficient detection conditions involving the size of the coding alphabet and the coding period are ***,the estimator parameter is explicitly determined in terms of the solutions to a set of matrix ***,a simulation example is provided to demonstrate the effectiveness of the obtained results.
In this paper, the cluster synchronization pinning control problem is investigated for the continuous-time-directed complex dynamic networks under the bit rate constraint. Firstly, a node selection scheme based on dif...
详细信息
In this paper, the cluster synchronization pinning control problem is investigated for the continuous-time-directed complex dynamic networks under the bit rate constraint. Firstly, a node selection scheme based on differences in node degrees is proposed to achieve cluster synchronization. Subsequently, a coding-decoding scheme is designed during data transmission through digital communication channels where only a limited number of encoded signal sequences are sent to the controller side. Further, regarding the unreliability of the channel, the phenomenon of packet dropouts is considered during the encoding process, which is modeled by using a series of independent Bernoulli distributed random variables. The pinning controller is then designed based on the received decoding information. By means of the convex optimization method, a sufficient condition is established to ensure that the cluster synchronization error is ultimately bounded and the desired controller gain is determined based on the solution to matrix inequalities. Finally, the effectiveness of the obtained results is validated through a simulation example.
This paper is concerned with the adaptive event-triggered recursive state estimation (RSE) issue for a class of nonlinear complex dynamical networks (CDNs) with random coupling parameter, missing measurements (MMs) an...
详细信息
This paper is concerned with the adaptive event-triggered recursive state estimation (RSE) issue for a class of nonlinear complex dynamical networks (CDNs) with random coupling parameter, missing measurements (MMs) and coding-decoding-based communication mechanism (CDBCM). First of all, a random variable uniformly distributed in a fixed interval is adopted to model the varying topologies. Then, the Bernoulli random sequence with uncertain statistical properties is considered to characterize the phenomenon of MMs subject to the uncertain occurrence probability situation. Furthermore, in order to ensure the security and reliability of the shared network channel, the adaptive event-triggered scheduling strategy (AETSS) and CDBCM are both employed to govern the data transmission thereby enhancing the communication quality. The aim of this paper is to present an RSE scheme for a class of stochastic CDNs such that for all MMs, AETSS and CDBCM, the state estimation error covariance (SEEC) is given the SEEC upper bound (SEECUB) is derived. Then, the state estimator gain matrix (SEGM) is parameterized by means of optimizing the trace of SEECUB. Moreover, the monotonicity of the trace of SEECUB with respect to the available missing probability is clarified detailed. Finally, an illustrative simulation is executed for the purpose of verifying the validity of the proposed RSE scheme.(c) 2022 Elsevier B.V. All rights reserved.
This article is concerned with the distributed filtering issue for linear discrete-time systems under bounded noises and constrained bit rate over wireless sensor networks. The communication between different sensor n...
详细信息
This article is concerned with the distributed filtering issue for linear discrete-time systems under bounded noises and constrained bit rate over wireless sensor networks. The communication between different sensor nodes is implemented via a wireless digital communication network with limited bandwidth. A bit rate constraint, which is subject to the so-called bandwidth allocation strategy, is placed to quantify the effect of the network bandwidth on the distributed filtering performance. An improved coding-decoding procedure is proposed to enable each node to decode messages from its neighbor nodes. Based on this procedure, a decoded-innovation-based distributed filtering scheme is put forward and a sufficient condition is established to ensure that the filtering error dynamics is ultimately bounded. Subsequently, a relationship between the bit rate and certain specific filtering performance is discovered. The desired parameters of the distributed filter are determined via solving two optimization problems whose objectives are actually the filtering performance indices including the smallest ultimate bound and the fastest decay rate. Furthermore, the codesign issue of the bit rate allocation protocol and the filter gain is converted into the mixed integer nonlinear programming problem, which is solved by means of the particle swarm optimization algorithm and the linear matrix inequality technique. Finally, numerical simulations on three scenarios are provided to verify the validity of the proposed distributed filtering approach.
暂无评论