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In this paper, the state estimation problem is discussed for discrete nonlinear fractional order system with non-Gaussian Lévy noises. By disposing the non-Gaussian Lévy noises, the system state vector and measurement vector can be approximated directly, which could enable to deduce the new system noise covariance matrix and measurement noise covariance matrix, respectively. Based on the proposed...
The control of unstable multiple-input multiple-output (MIMO) systems with multiple and different time delays, is a hard problem due to the interactions and the different delays. In this paper, the control is designed based on the availability of the undelayed state of the process. First, a time delay compensator for single-input single-output (SISO) unstable systems is introduced, allowing to get...
This paper deals with the state filtering problem of nonlinear state-space functions with partial parameters unknown. A novel filtering algorithm is proposed based on a modified maximum likelihood method. Using a new likelihood probabilistic function, we obtain a two-stages strategy of Expectation and Maximization (EM) with the help of Monte Carlo method. The convergence of EM parameter updating strategy...
The paper addresses the problem of state estimation using the measurement output of a mobile pointwise sensor for a class of nonlinear distributed parameter systems, which are modeled by a scalar semi-linear parabolic partial differential equation. A Lyapunov-based co-design method is proposed for simultaneous design of the guidance law of the mobile sensor and the distributed-parameter Luenberger...
In this paper, the state estimation problem is investigated for a class of discrete-time stochastic neural networks with event-triggered transmission (ETT) mechanism. Different from the traditional periodic communication mechanism, the ETT mechanism employed in this paper possesses the advantage of mitigating the network traffic resulting from the unnecessary sending and receiving data between the...
In this paper, we investigate how to quantitatively evaluate the performance of state estimation in a discrete event system. We adopt stochastic automaton to quantitatively describe a discrete event system. With the stochastic automaton, we can calculate the probability of occurrence of any event sequence. We say that an event sequence (with sufficient length) is detectable if we can determine the...
In the field of target tracking and navigation, multi-sensor data fusion has been widely applied. Most of the data fusion algorithms are built on the premise that the sensor observation information is reliable. However, in practical problems, due to the limitation of communication and sensor fault, etc., data missing or unreliable measurements will happen inevitably. In addition, at present a lot...
In this paper, the simultaneous unknown input and state estimation problem is investigated for a class of linear discrete time-varying systems in sensor networks with missing measurements. Sensor nodes under consideration are distributed in space according to a fixed network topology, and each sensor receives the information from both the system and its neighbors. The missing measurement phenomenon...
In this work, an event-triggered high gain observer (ET-HGO) design is considered for a continuous-time nonlinear system combined with disturbance and uncertainty. In the event-trigger scheme, the performance of the ET-HGO depends on the triggering condition directly. Hence, in this work, for the high-gain observer considered, an event-triggered transmission strategy, which does not relies on the...
The problem of state estimation is investigated for complex network systems with quantization and event-triggered communication scheme. A quantization method is introduced to quantize the output signal, which can reduce the burden of data transmission; An event-triggered communication scheme is cited, which is useful to reduce the communication burden of transmission channel. The main purpose of this...
Coordinated target tracking for a team of two heterogeneous Unmanned Aerial Vehicles (UAVs) is discussed. In order to study the coordinated relationship by means of distances of UAV-to-target and UAV-to-UAV, a constraint of distances coordination is proposed. Differing from the traditional studies that focus on angular separation or communication connectivity for UAVs, this constraint takes the effect...
Improvement of electric vehicle handling stability and active safety depends strongly on real-time knowledge of important vehicle states in vehicle dynamics control systems, which is difficult to measure directly for both technical and economic reasons in fact. This paper presents a novel method to estimate critical vehicle states such as vehicle sideslip angle and lateral tire forces by utilizing...
State estimation of power transmission system has been successfully applied in practice, while less attention is given to the distribution system state estimation (DSSE) for a long time. As the penetration of distributed generation and utilization of next-generation digital devices such as phase measurement units increasing to a higher level nowadays, monitoring objects and tools for distribution...
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