The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Statechart has been utilized as a visual formalism for the modeling of complex systems. It illuminates the features on describing properties of causality and concurrency. This paper focuses on the use of statecharts to model the preemption of emergency vehicles system. The advantage of the proposed approach is the clear presentation of traffic lights' behaviors in terms of conditions and events that...
A novel detection concept, content-independent image processing system (CIIP system) is designed in this study. The regular life safety of elders who live alone is concerned. It is desired to detect possible falling behaviors and unconscious situations of elders in the case. We intend to use image processing techniques to detect elders' fall but without the concern of being watched. The idea is to...
Support vector regression (SVR) employs the support vector machine (SVM) to tackle problems of function approximation and regression estimation. SVR has been shown to have good robust properties against noise. Besides, in SVR, outliers may also possibly be taken as support vectors. Such an inclusion of outliers in support vectors may lead to seriously overfitting phenomena. The rough set theory is...
In the paper, the Lyapunov stable theory and L2-gain control performance are employed to interpret a sliding controller design with the proportional-integral (PI) control form and the integral sliding surface. First, a theoretical analysis of the considered sliding PI controller is provided. Our analysis reveals that the proportional control term of the sliding PI controller, i.e., sliding proportional...
One disadvantage of hardware controller is that it cannot learn from experiential information. Many software neural networks and fuzzy algorithms can resolve this problem, but their processes are complicated and waste time. Therefore, a simple firmware controller with learning ability programmed on FPGA is proposed in this paper. The proposed firmware controller is a CMAC based supervisory controller...
Self-constructing neural fuzzy inference network (SONFIN) is a neural fuzzy system and owing to its structure learning capability, SONFIN has been demonstrated to have excellent learning performance. However, various parameters must be selected in the implementation of SONFIN. In this paper, the learning behavior of SONFIN is studied. First, the SONFIN system with different thresholds and variances...
In this paper, a Box-Cox transformation-based annealing robust radial basis function networks (BCT-ARRBFNs) is proposed for training data set with skewness noise. Firstly, the initial structure is determined by a fixed BCT-ARRBFNs model which is derived by support vector regression (SVR). Secondly, the results of the SVR are used as the initial parameters of structure in the fixed BCT-ARRBFNs. At...
In our earlier study, the property of L2-gain robust control is incorporated into the direct adaptive fuzzy control design with the use of the compensative controller. The tracking control performance is guaranteed. In the study, we further employ the L2-gain property to improve the adaptive law design. Due to the L2-gain control property, the approximate error of the fuzzy system is estimable, and...
The research about sliding based approaches is a widely studied topic to the adaptive fuzzy control system designs. In this paper, a novel state error feedback sliding controller is proposed. An optimal feedback gain is required and in this study it is assumed to be unknown. Usually, a rudimentary feedback gain is used. Besides, in order to approximate the state error feedback sliding controller with...
This paper is a study of a genetic adaptive scheme design for L2-gain state feedback controllers. It is known that the design of the initial gain producer of the L2-gain state feedback controller (LC) is a difficult problem. The derivative-free optimization, the genetic algorithm, is utilized to resolve the high initial gain problem of LC for a class of nonlinear systems. It is a novel approach for...
The CMAC tuning effects to improve the Hinfin control performance is proposed in this paper. The Hinfin norm is utilized for evaluating the supremum of the robust control variable such that it ensures the Lyapunov stability of the proposed control schemes. Under the Lyapunov stable criterion, we apply the novel pre-step CMAC online tuning scheme for tuning the control variable in order to improve...
In this study, an idea to the self-tuning sliding mode controller design is proposed. The proposed controller not only reduces the chatting phenomenon, but also needs less the system bounds than traditional sliding mode controllers do. The proposed self-tuning sliding mode controller can be viewed as an improved hitting controller. Besides, in order to resolve the parameter selection problem, the...
Recently, many researchers have devoted themselves to the study of methods of designing controllers for switched nonlinear systems with the use of the switched Takagi-Sugeno (T-S) fuzzy model. The main feature of switched T-S fuzzy models is that they characterize the local dynamics of each fuzzy rule by a linear model. The appeal of the switched T-S fuzzy model in control design is that the stability...
A serious problem limiting the applicability of the fuzzy neural networks is the "curse of dimensionality", especially for general continuous functions. A way to deal with this problem is to construct a dynamic hierarchical fuzzy neural network. In this paper, we propose a two-stage genetic algorithm to intelligently construct the dynamic hierarchical fuzzy neural network (HFNN) based on...
In order to solve the parameter drift problem of learning fuzzy control systems, a compensate controller is proposed based on the H-infinite control theory. The proposed compensate controller has the H-infinite tracking capability and thus is named as the H-infinite tracking compensator (HTC). The characteristic of the HTC design is that the concept of Lyapunov energy convergence is employed to solve...
In this study, a self-tuning sliding controller is employed to solve the control problem for a class of SISO nonlinear control system. Such a controller is called the self- tuning saturation sliding controller (SSC) in this paper. The SSC can be viewed as an improved sliding controller which possesses both the equivalent controller characteristics and the hitting controller characteristics. Besides,...
This paper proposes an antilock braking system (ABS), in which unknown road characteristics are resolved by a road estimator. This estimator is based on the LuGre friction model with a road condition parameter, and can transmit a reference slip ratio to a slip ratio controller through a mapping function considering the effect of wheel angular velocity. In the controller design, a direct adaptive fuzzy-neural...
The design target of a supervisory controller (SC) is to stabilize the system states within a designate region. In this paper, we propose two improved SCs designed for SISO nonlinear system based on the Lyapunov stable theory. These improved SCs have the original stabilize function and moreover they can have acceptable control ability even if the system does not have a main controller. Since these...
This paper addresses the problem of designing robust static output-feedback controllers for nonlinear discrete-time interval systems with time delays both in states and in control input based on the Takagi-Sugeno fuzzy model. In the approach, we do not directly employ the Lyapunov approach, as do in most of traditional fuzzy control design approaches. Instead, sufficient conditions for guaranteeing...
This paper proposes on-line modeling via Takagi-Sugeno (T-S) fuzzy models and robust adaptive control for a class of generalized multiple input multiple output (MIMO) nonlinear dynamic systems with external disturbances. The T-S fuzzy model is established to approximate the nonaffine nonlinear dynamic system in a linearized way and is used to be an error compensator for external disturbances and system...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.