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This paper suggests a solution for a robust digital implementation of the output-feedback control system by utilizing intelligent digital redesign (IDR). The general IDR method involves designing a digital fuzzy controller which is comparable to a pre-designed analog one via state-matching. However, under containing the parametric uncertainties, the new problem about the structural property of the...
This paper presents the novel and efficient warhead tracking filter based on probabilistic data association (PDA) scheme for FMCW radar seeker with anti-ballistic capability. In frequency domain, the warhead tracking problem can be cast into a difficult data-association problem because multiple and closely located frequency measurements are generated by scatterers of a ballistic missile and multi-path...
Motion control is an important task in industrial automation systems. And the exact motor speed estimation is needed for precise motion control. To obtain the motor speed, linear hall sensor is used in this paper for implementation as a low cost and a simple calculation. Since the linear hall sensor output is sinusoid wave, the measurement equation can be modeled with a sinusoid signal easily. Based...
In this paper, an impedance discontinuities localization for the nuclear control cable using the time-frequency domain reflectometry (TFDR) is proposed. By analyzing characteristics of the target cable, the reference signal is designed. To be prepared for on-voltage experiment, the reference signal is injected into the target cable via capacitive coupler. Using the Wigner distribution, the reflected...
This paper presents a novel method of estimating ocean waves by measuring current outputs from the Archimedes Wave Swing (AWS) wave energy converter (WEC). The wave period and height are crucial information to maximize the power output from the AWS. However, since the AWS is installed on the seabed, additional sensors and buoys are required to obtain the ocean wave information. The extended Kalman...
This paper presents the properties of policy iteration (PI)-mode monotone convergence and stability of generalized policy iteration (OPI) algorithms for discrete-time (DT) linear systems. OPI is one of the reinforcement learning based dynamic programming (DP) methods for solving optimal control problems, interacting policy evaluation and policy improvement steps. To deal with the convergence and stability...
In this paper, we propose an online adaptive neural-algorithm to solve the CT nonlinear optimal control problems. Compared to the existing methods, which adopt the architecture with two neural networks (NNs) for actor-critic implementations, only one NN for critic is used to implement the algorithm, simplifying the structure of the computation model. Moreover, we also provide a generalized learning...
This paper proposes a linear estimation theory based direction of arrival (DOA) estimator to guarantee high-performance and computational efficiency. To do this, state-space system is derived from the linear prediction relation of the sinusoidal acoustic signal. Since it contains uncertain measurement matrix, the recently developed non-conservative robust Kalman filter (NCRKF) can be applied to compensate...
This paper investigates the second-order consensus problem for multi-agent systems with random link failures between each agent. The discrete-time multi-agent systems are described by the second-order dynamics, and the communication network is assumed to be directed with fixed topology. Since each link between the agents can be subject to failure with a certain probability, the control protocol is...
Visual target tracking is one of the important issues in computer vision. Especially, the particular object tracking in an environment of multiple objects has many practical applications such as automated surveillance system and robot vision system. However, it is difficult to track a particular object because many problems are occurred in an environment of multiple objects such as merging and splitting...
This paper investigates the stability and stabilization problem for nonlinear systems with neutral time delays represented by the Takagi-Sugeno (T-S) fuzzy model. First, the T-S fuzzy models with neutral time-delay are present and the stability conditions are derived in form of linear matrix inequalities (LMIs). Then a stabilization approach for nonlinear neutral systems through fuzzy output feedback...
In this paper, relaxed stability of polynomial fuzzy system is considered. Proposed relaxed stability condition is based on the non-quadratic Lyapunov function (NQLF). Since the condition that contains the time derivative of the fuzzy weighting function (FWF) cannot be casted into linear matrix inequality (LMI) condition, various researches arbitrarily set the bound of its magnitude. To solve this...
This paper presents a intelligent digital redesign technique for the fuzzy dynamic output-feedback controller of the nonlinear system. A Takagi-Sugeno fuzzy model is adopted for the nonlinear system and the discretized models of the analog and digital closed-loop system with fuzzy dynamic output-feedback controllers, respectively. Sufficient conditions are derived for both the stabilization of the...
This paper presents relaxed stabilization condition for artificial Takagi-Sugeno (T-S) fuzzy control systems. Continuous membership functions of the T-S fuzzy system are represented by staircase membership functions. With the property of the staircase membership functions, it turns the set of infinite number of linear matrix inequalities(LMIs) based stability conditions into a finite one. The proposed...
This paper presents the relaxed stability condition for the affine fuzzy system using the fuzzy Lyapunov function which is the Lyapunov function with the membership function. Based on Lyapunov-stability theory, the relaxed stability condition for the affine fuzzy system is derived and represented to linear matrix inequalities(LMIs) with added null product term. Slack matrix variables are considered...
For the covertness in modern anti-submarine warfare (ASW), a sonar system has been evolved to the bi-static type. However, it is difficult to get the recognizable error coefficients at any time with clear mathematical definition for the sonar model. To resolve the dynamics accompanied with the error component, we should deal with heterogeneous, complementary fusion of information in order to enable...
In this paper, an impedance change localization for the nuclear control cable using the time-frequency domain reflectometry (TFDR) is proposed. The reference signal is designed by analyzing characteristics of the target cable and capacitive coupler. To be prepared for on-voltage experiment, the reference signal is injected into the target cable via capacitive coupler. The experiment using the TFDR...
This study presents a stability condition for a guaranteed cost sampled-data fuzzy control problem of non-linear systems. A Takagi??Sugeno (T??S) fuzzy model is adopted for the non-linear system and the sampled-data fuzzy controller is designed for a T??S fuzzy system. To develop the guaranteed cost control, a new stability condition of the closed-loop system is guaranteed in the continuous-time Lyapunov...
This paper investigates the properties of integral value iteration (I–VI) which is one of the reinforcement learning (RL) technique for solving online the continuous-time (CT) optimal control problems without using the system drift dynamics. The target I–VI is the one applied to CT linear quadratic regulation problems. As a result, two modes of global monotone convergence of I–VI are presented. One...
This paper presents a robust decentralized controller design problem for guaranteed cost stabilization of a class of fuzzy large-scale systems using dynamic output-feedback scheme. A Takagi-Sugeno fuzzy model is adopted for the large-scale system, which has norm-bounded uncertainties and unknown interconnection satisfying the quadratic inequality. Sufficient conditions are derived for both robust...
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