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Conference proceedings front matter may contain various advertisements, welcome messages, committee or program information, and other miscellaneous conference information. This may in some cases also include the cover art, table of contents, copyright statements, title-page or half title-pages, blank pages, venue maps or other general information relating to the conference that was part of the original...
This paper is concerned with the problem of adaptive neural output-feedback control for a class of nonlinear strict-feedback systems. In this research, radial basis function (RBF) neural networks (NNs) are used to approximate the unknown nonlinear functions and a state observer is constructed to estimate the immeasurable state variables. An adaptive neural output feedback control scheme is proposed...
In this paper, a distributed adaptive output feedback control scheme is proposed to solve output consensus regulation problem of multi-agent systems with parameter uncertainties and loss of effectiveness type of actuator faults. We suppose that i) only a subset of the subsystems can access the desired set value directly, ii) the communication conditions among all the subsystems are represented by...
In this paper, based on variable universe fuzzy tracking control (VUFC), we present a novel adaptive non-backstepping design algorithm for a class of SISO strict-feedback systems with unknown dead-zone. With some new states variables and coordinate transforms, the state-feedback control of strict-feedback system is converted into the output-feedback control of normal system and observers need to be...
We present an add-on scheme for multi-input, multi-output systems with a nominal controller in order to avoid problems caused by amplitude and rate saturation such as integrator windup and phase lag. No modelling information is needed except the number of input and output. The adaptive error correction estimates the effect of control saturation on the command following error and directly modify the...
In this paper, an adaptive tracking control scheme is proposed for robotic manipulators with unknown input saturation. To overcome the design difficulty from non-differential saturation nonlinearity, a smooth nonlinear function of the control input signal is first introduced to approximate the saturation function, which can be further transformed into an affine form according to the mean-value theorem...
In this paper, a robust adaptive backstepping output feedback control is designed for a class of n-th order multiple-input multiple-output (MIMO) nonlinear systems with uncertainties. This robust adaptive backstepping control method is a Lyapunov-function-based approach and not susceptible to the system model uncertainty. In the control law design procedure, only the measurements of state derivatives...
In this paper, the oily sewage treatment using the technology of ceramic membrane filtration is described. The intelligent control system of distributed sewage treatment is designed. Using multiple ARM processor STM32F103VET6 for each module processing chip, point to point signal transmission through RS232, The operation parameters of each module and its operation status are set up by using several...
Making precise assessment on the optimality degree for process operation performance and giving correct operating instructions for non-optimality, contributes to the adjustment of production to keep the process stay at optimal states. Better operation performance helps the factory obtain more benefit. Traditional monitoring approaches determine if the process is working normally, but cannot tell if...
Given that the LQG benchmark is closer to the actual production, performance assessment of cascade control system based on LQG benchmark has been proposed. The joint input and output subspace identification algorithm was used to estimate the process model, noise transfer function, the inner loop controller and the outer loop controller. And three possible cases could be considered to evaluate cascade...
In this paper, considering the randomly occurring input saturation, a robust model predictive control (MPC) algorithm is proposed for uncertain time-delayed systems. The randomly occurring input saturation and state delays resulted from the limitation of the communication bandwidth are put forward to better reflect the reality of system condition under the networked environment. A sate feedback law...
Currently, the method of leak detection and location, which is based on real-time transient modeling, is now taking obtained pressure and flow rate values at both ends of the pipeline as the boundary conditions, to establish the real-time transient model to detect the changes of the real pressure and water flow rate. Due to the mineral slurry pipeline leakage caused by negative pressure wave, it will...
This paper presents two model predictive control (MPC)-based strategies for the micro gas turbine-based combined cooling, heating and power (MGT-CCHP) system. The first design uses a single MPC to control the integrated MGT-CCHP system in the coordinate way, where the advantages of MPC in dealing with the multi-variable coupling system can be fully taken. The second design follows the physical connection...
This paper addresses the problem of average consensus for multi-agent systems (MAS) with time-varying delay and switching communication topology. By designing a new Lyapunov-Krasovskii functional (LKF), applying the Wirtinger-based inequality and reciprocally convex combination approach to handle the integral terms of the derivative of the LKF, a novel delay-dependent sufficient condition in terms...
This paper studies the consensus problem of second-order agents with impulsive protocol and asynchronous sampling information. It is assumed that each agent measures the relative position information to the neighbors and its velocity information at its own clock. For different agents, the measurement times are independent of each other. By only reducing the order of stacked velocity vector and common...
This letter is on the design problem of global asymptotical adaptive synchronization for a class of complex dynamical networks. In the considered networks, the dynamics of each node are approximated by a class of neural networks (NNs). The parameters of the NNs in the complex dynamical networks are unmatched with the ones in the desired dynamical system. Furthermore, the coefficient matrix of the...
This paper investigates the distributed H∞ node-to-node consensus of multi-agent systems with a leaders' layer and a followers' layer. The dynamics of each agent are described by nonlinear differential equations and the communication topology is directed. The information communication within the same layer is continuous while aperiodic sampled-data pinning control is utilized between the leaders'...
In this paper, nonlinearly coupled network with time-varying delay is considered. By using a class of simple discontinuous state feedback controllers, criteria for guaranteeing the finite-time synchronization of the complex dynamical network are derived based on the new analysis techniques. It's worth pointing out that the setting time to achieve synchronization is estimated, which depends on not...
Complex networks portray a multitude of interactions through which infectious diseases propagate in a society. Tight attraction has been focus on the dynamics of epidemic spreading in complex networks. In this paper, a new epidemic spreading model with anti-virus, Susceptible-Infected-Variant-Recovery (SIVR) model, is proposed. This model extends the classical Susceptible-Infected-Recovery (SIR) epidemic...
This paper proposes a novel multi-target tracking framework, where two different association strategies are utilized to obtain local and global tracking trajectories. Specifically, a scene self-adaptive model is first utilized to generate local trajectories by constructing the association between detection responses and tracking tracklets; then, a novel incremental linear discriminative appearance...
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