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In this paper, the suboptimal control problem is addressed for a class of discrete time-varying systems subjected to the stochastic communication protocol (SCP). The measurements provided by the sensors are transmitted through the communication channel and then fed into the controller. The SCP is utilized to select the sensor getting access to the communication media. In presence of the nonlinearities,...
In this paper, the variance-constrained finite-horizon state estimation problem is studied for a class of discrete time-varying systems with an event-triggering mechanism. An event-based transmission scheme is employed during the data communication from the sensor to the estimator with hope to reduce the network burden and energy consumption. Furthermore, redundant channels are utilized to enable...
This paper is concerned with the distributed sampled-data H∞ state estimation problem for a class of discrete time-invariant systems over sensor networks. The plant under consideration is sampled with a fast period. The sampling intervals of the measurements are integer multiples of the fast period and the sampling processing is characterized by a Markov chain. In order to estimate the plant state,...
This paper is concerned with the model predictive control (MPC) problem for a class of unconstrained polytopic systems under the try-once-discard (TOD) protocol. Under the TOD protocol, only the sensor gaining the highest priority is allowed to transmit the data to the controller at each time instant. In this case, a switched system related to the activated sensor is constructed and, based on which,...
This paper investigates the problem of H∞ state estimation for discrete-time stochastic genetic regulatory networks (GRNs) with switching parameters, time-varying delays, and exogenous disturbances. A new discrete-time stochastic GRN model with switching parameters is proposed by assuming that the sojourn probability of each subsystem of the GRN under consideration is known. By using the stochastic...
UK accident and emergency departments have to treat patients from arrival to discharge, transfer or admission within four hours. Scientific methods to determine the triage category are important for the hospital to effectively manage resources and staff. In this paper, two clustering algorithms, i.e., K-means and fuzzy c-means clustering, are applied to establish the triage category via data collected...
This paper is concerned with the finite-horizon H∞ quantized control problem for a class of discrete time-varying nonlinear networked control systems with earliest deadline first (EDF) schedule. EDF schedule is employed in the channels both from sensor to controller and controller to actuator. Moreover, the measurement output signal and control signal are quantized by a logarithmic quantizer before...
This paper proposes an “out-in degree” Laplacian matrix to dispose the distributed optimization problem for both the continuous-time and discrete-time multiagent systems with the first-order dynamics over a general strongly connected digraph. By making use of the out-degree and in-degree Laplacian matrices of the directed graph, we establish the parameter matrix which possesses some properties similar...
This paper is concerned with the finite-horizon H∞ state estimation problem for time-varying complex networks with redundant channels. The redundant channels are employed in the data transmission to against the fragility of communication networks commonly configured by the single channel subject to data missing and uniform quantization effects. The aim of the addressed problem is to design an estimator...
In this paper, the variance-constrained H∞ filtering problem is investigated for a class of discrete-time stochastic parameter systems. An event-triggered communication protocol is adopted in order to reduce the communication burden where the measurement information required by the filter is updated only when a certain prescribed event is triggered. The purpose of the addressed filtering problem is...
The photocurrent in graphene has drawn much attention in recent years. The mechanisms of its production vary in different situations, such as at the interfaces of monolayer-bilayer junction or p-n junction. Here we demonstrate photocurrent generation in graphene-based field-effect transistors (GFETs) with a partially suspended area. Both Raman and photocurrent mapping were performed after a laser-induced...
We demonstrate a facile method to grow highly uniform monolayer graphene films on copper foils by atmospheric pressure chemical vapor deposition (APCVD). The technique in this method includes lowering flow ratio of methane/hydrogen and extending exposure time to hydrogen. All the multilayer islands will be etched away by hydrogen during this growth process, resulting in obtaining highly uniform monolayer...
This paper deals with the consensus control problem for a class of discrete time-varying stochastic multi-agent systems with stochastic nonlinearities and deception attacks. A novel definition of quasi-consensus is proposed to reflect the consensus process where, at each time instant, all the agents are constrained to stay within a certain ellipsoidal region. The measurement output available for the...
This paper investigates the remote state estimation problems for a class of linear discrete-time systems. An event-triggered scheme that schedules the transmissions between the sensor and the remote estimator is introduced so as to preserve the network resources. The communication process is assumed to suffer from the missing measurement phenomenon described by a Bernoulli distribution. Additionally,...
In this paper, the security issue is investigated for networked control systems (NCSs) where the physical plant is controlled by a remote observer-based controller. The communication channel from system measurement to remote control centre is vulnerable to attacks from malicious adversaries. Here, false data injection (FDI) attacks are considered. The aim is to find the so-called insecurity conditions...
This paper is concerned with the security-guaranteed filtering problem for a class of discrete spatial-temporal systems with deception attacks. By reorganizing the state variables, the spatial-temporal system is first transformed into a linear discrete-time system. Then, by using a novel energy-like function technique, a sufficient condition is derived under which the filtering error dynamics is guaranteed...
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, the observer design problem is considered for a class of systems with unknown inputs and missing measurements. A Bernoulli distributed sequence taking values on 0 or 1 is employed to govern possible missing measurements. It is worth mentioning that the effects of the unknown inputs cannot be fully eliminated from the estimation error due to the stochastic nature of the addressed system...
In this paper, we study the global exponential stability problem for a class of discrete-time memristive recurrent neural networks (MRNNs) with time-varying delays. For the neural networks under consideration, the activation functions are assumed to be slope-bounded. By employing the theories of set-valued mapping, difference inclusions as well as homeomorphic mapping, the existence of the equilibrium...
This paper is concerned with the H∞ control problem for two-dimensional (2-D) stochastic systems with randomly occurring nonlinearity. The randomly occurring nonlinearity is modeled by using a Bernoulli random variable with known occurrence probability, which can characterize the phenomenon that the nonlinear disturbance may occur in a probabilistic way. Our attention is focused on the design of a...
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