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To hire multiple agents cooperating to solve realworld problem with large state space, a precondition is to provide an interaction medium for knowledge exchange and share among agents. We propose an interaction medium: State-Clusters, computed from the state trajectory that the agent wandered in state space. The State-Clusters of a state includes acyclic state paths from other states to this state,...
In this paper, we deal with the problem of quantized control strategy design for a class of discrete time Markovian jump linear systems with limited communication capacity. We generalize the static Quantizer design method of Elia and Mitter to stochastic system with Markovian jump parameter. The concept of mode-dependent logarithmic quantizer is presented firstly in this paper, which is employed to...
This paper studies the global states regulation problem via output feedback for a class of uncertain nonlinear systems and a class of their cascade systems. The uncertain nonlinear perturbed terms of the considered systems are assumed to satisfy a generalized condition which is related to an unknown constant and is more relaxed than the existing triangular-type condition. Due to the presence of unknown...
This paper explore the using of cooperative, distributed agents to improve bus services, these agents include bus departure control agent, bus stop agent, travel guiding agent and so on. This paper focus on the scheme for constructing bus stop agent, that is capable of better managing bus pass in or out the congested stop. These agents have components such as belief warehouse, rule warehouse, environmental...
This paper studies the tracking performance of linear time-invariant (LTI) single-input single-output (SISO) discrete-time networked feedback systems. We take the system's reference input as a step signal, and assume that the controller output is first quantized and next transmitted over a communication network to the plant, whereas the quantization error is modeled as a white noise. We are interested...
It is known that the PID controller is ill-suited to handle time-delay processes, especially in applications with stringent control objectives to be met. For such purposes, deadtime compensators may be used. But such controllers still face resistance towards actual industrial applications due to their difficulties in implementation and realisation. In this paper, a PID solution involving setpoint...
In most batch processes, quality control measurements cannot be completed before the next batch operation. Thus, the corrective step is often delayed by one batch or more. The uncertain duration of delay with stochastic characteristics can be treated as a random variable of unknown distribution. Coupled with inaccurate process models, the delay may lead to significant process output variations even...
In this paper, we present an iterative learning controller for interconnected nonlinear nonaffine systems with repeatable control tasks. A local learning controller for each subsystem is constructed by a fuzzy neural learning component and a robust learning component to adaptively compensate for the nonaffine nonlinearities and interconnections. The fuzzy neural learning component is designed based...
The paper is concerned with the notion of lossless negative imaginary systems and their stabilization using a strictly negative imaginary controller through positive feedback. Firstly, some properties of lossless negative imaginary transfer functions are studied. Secondly, a lossless negative imaginary lemma is given which establishes conditions on matrices appearing in a minimal state-space realization...
The presence of interactions has often made controlling large scale chemical plants expensive and difficult. This paper aims to address these issues by using a network approach where a large scale plant is modeled as a network of interconnected process units. This network is controlled by another network made up of interconnected local controllers. By utilizing the physical and energy properties of...
Feedback controllers that automatically counteract the effects of adversarial interventions on the operation of asynchronous sequential machines are considered. Bursts - fast outbursts of characters generated by the controlled machine during transitions - are employed to broaden the conditions under which such controllers exist. Included are necessary and sufficient conditions for the existence of...
This paper is concerned with designing a fuzzy dynamic feedback controller for Takagi-Sugeno (T-S) model nonlinear stochastic systems with time delay. The slack matrix method is utilized to derive a delay-dependent sufficient condition that warrants the mean-square asymptotic stability with an Lscr2-Lscrinfin performance for the resulting closed-loop system. Moreover, the solvability condition for...
In this paper, the problems of passivity analysis and passive control of continuous-time Takagi-Sugeno (T-S) fuzzy time-varying delayed systems are studied. The analysis is based on the concept of very-strict passivity which is shown to be restrictive than the usual passivity. Novel techniques are applied to derive delay-dependent conditions for the solvability of the problem of designing a state-feedback...
This paper is concerned with a strictly positive real H2 controller design problem using an observer-based controller with Kalman filter gain. In this paper, we propose a successive method with non-common Lyapunov variables for this control problem. The feature of our method is to construct a controller sequence on which H2 norm is monotonically non-increasingly while all controllers are strictly...
This paper is concerned with a D-stability controller design problem with a static or a reduced-order output feedback controller. This problem is difficult to be solved theoretically, because it consists of some bilinear matrix inequality's (BMI's). In this paper, an exterior-point approach to this problem, which produces a controller sequence approaching a feasible region from an infeasible one is...
In this paper, a controller for the singularly perturbed system is designed in detail to satisfy frequency-domain loop-shaping specifications which are given in terms of Hinfin norm, moreover, the controller has the similar structure with the full system. It is further shown that this controller is obtained through designing its fast and slow parts. The main contribution of this paper is that the...
In this paper, a control mechanism is proposed for state fault-tolerance of asynchronous sequential machines. A disturbance input may penetrate into the asynchronous machine and provoke unauthorized state transitions. The considered asynchronous machine is of input/output type, where access to the state of the machine is not available. The objective is to design output feedback controllers that automatically...
The physical parameters of controlled systems are uncertain and are accompanied by nonlinearity. The transfer function and the characteristic polynomial should, therefore, be expressed by interval (polytopic) polynomials, regardless of whether the input-output signals are continuous or discrete in time. This paper evaluates the robust stability of discrete-time control systems based on the existing...
In this paper, parameter identification based on Wiener-Hammerstein models were proposed for main steam temperature in a superheater system of a thermal power plant. Two approaches of identification methods were evaluated. One based on prediction error, and the other was based on maximum likelihood method. The effectiveness was confirmed through simulation studies.
Due to the high nonlinearity in system models, the large number of kinetics parameters involved, the inadequate measurement data in experiments and the noise pollution, etc., parameter estimation is therefore a challenging problem in systems biology. In this work, sensitivity analysis of model output with respect to model parameters is evaluated using Latin hypercube sampling method. Then, a new objective...
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