In this paper, we show that the tracking performance of a hard disk drive actuator can be improved by using two adaptive neural networks, each of which is tailored for a specific task. The first neural network utilize...
详细信息
ISBN:
(纸本)9781424431236
In this paper, we show that the tracking performance of a hard disk drive actuator can be improved by using two adaptive neural networks, each of which is tailored for a specific task. The first neural network utilizes accelerometer signal to detect external vibrations, and compensates for its effect on hard disk drive position via feedforward action. In particular, no information on the plant, sensor and disturbance dynamics is needed in the design of this neural network disturbance compensator. The second neural network, designed to compensate for the pivot friction, uses a signum activation function to introduce nonlinearities inherent to pivot friction, thus reducing the neural network¿s burden of expectation. The stability of the proposed scheme is analyzed by the Lyapunov criterion. Simulation results show that the tracking performance of the hard disk drives can be improved significantly with the use of both neural networks compared to the case without compensation, or when only one of the networks is activated.
A novel fault-tolerant adaptive control methodology against the actuator faults is proposed. The actuator effectiveness factors (AEFs) are introduced to denote the healthy of actuator, and the unscented Kalman filt...
详细信息
A novel fault-tolerant adaptive control methodology against the actuator faults is proposed. The actuator effectiveness factors (AEFs) are introduced to denote the healthy of actuator, and the unscented Kalman filter (UKF) is employed for online estimation of both the motion states and the AEFs of mobile robot. A square root version of the UKF is introduced to improve efficiency and numerical stability. Using the information from the UKF, the reconfigurable controller is designed automatically based on an enhancement inverse dynamic control (IDC) methodology. The experiment on a 3-DOF omni-directional mobile robot is performed, and the effectiveness of the proposed method is demonstrated.
The problem of Input Output Decoupling is studied for the case of general neutral multi-delay systems, via proportional realizable output feedback. Using a pure algebraic approach, the necessary and sufficient conditi...
详细信息
The feasibility of the design of a closed loop system to control glucose levels in critical care patients is presented in this paper. Considering the basic elements for its construction: The plasma glucose detection u...
详细信息
The necessary and sufficient conditions for the solvability of the exact model matching problem for general neutral single input - single output multi-delay systems, via a realizable dynamic output feedback and a real...
详细信息
This paper proposes a motion control algorithm for an active type of robotic mobility aid based on passive behavior concept. Passive behavior is an important characteristic of a system that provides mobility to elderl...
详细信息
This paper proposes a motion control algorithm for an active type of robotic mobility aid based on passive behavior concept. Passive behavior is an important characteristic of a system that provides mobility to elderly or person with walking disability. It allows the user to control the system based on intention. Passive behavior is implemented using imposed desired dynamics, which represents the actual behavior of passive system. This approach uses user intention represented by applied force/torque to derive the mobility aid desired motion. In addition, a guideline in parameter selection of the desired dynamics is also presented. This guideline is used to ensure the stability of the active robotic mobility aid with passive behavior. Experimental results are presented to show the validity of the proposed control method.
This paper deals with enriched qualitative belief functions for reasoning under uncertainty and for combining information expressed in natural language through linguistic labels. In this work, two possible enrichments...
详细信息
ISBN:
(纸本)0662478304
This paper deals with enriched qualitative belief functions for reasoning under uncertainty and for combining information expressed in natural language through linguistic labels. In this work, two possible enrichments (quantitative and/or qualitative) of linguistic labels are considered and operators (addition, multiplication, division, etc) for dealing with them are proposed and explained. We denote them qe-operators, qe standing for "qualitative- enriched" operators. These operators can be seen as a direct extension of the classical qualitative operators (q-operators) proposed recently in the Dezert-Smarandache Theory of plausible and paradoxist reasoning (DSmT). q-operators are also justified in details in this paper. The quantitative enrichment of linguistic label is a numerical supporting degree in [0,∞), while the qualitative enrichment takes its values in a finite ordered set of linguistic values. Quantitative enrichment is less precise than qualitative enrichment, but it is expected more close with what human experts can easily provide when expressing linguistic labels with supporting degrees. Two simple examples are given to show how the fusion of qualitative-enriched belief assignments can be done, and a simulation application is given to show its advantage in rough navigation map building of mobile robot.
In this paper, we present an optimum approach to design a MIMO controller for a manipulator using discrete tabu search (TS) algorithm. In the first step, the TS algorithm is reviewed and then we employ the proposed me...
详细信息
In this paper, we present an optimum approach to design a MIMO controller for a manipulator using discrete tabu search (TS) algorithm. In the first step, the TS algorithm is reviewed and then we employ the proposed method in order to assign efficiently the optimal PID controller parameters. The design goal is to minimize the integral absolute error and reduce transient response by minimizing overshoot, settling time and rise time of the system. A 5-bar-linkage is considered as a case study. We define an objective function including these indexes. Then by minimizing this function using discrete TS algorithm, controller parameters design is performed efficiently and quickly. Superior features of this algorithm are fast tuning of PID parameters, rapid convergence, less computational burden and capability to avoid from local minima. Simulation results demonstrate that our proposed TS method compared with other heuristic method, i.e., the genetic algorithm (GA) is more efficient in terms of improving the step response of the robot.
The authors have recently developed a framework for failure diagnosis in hierarchical finite-state machines (HFSMs). This diagnosis method reduces random access memory requirements and changes the complexity of the di...
详细信息
The authors have recently developed a framework for failure diagnosis in hierarchical finite-state machines (HFSMs). This diagnosis method reduces random access memory requirements and changes the complexity of the diagnosis computations from exponential to polynomial if the subsystems of the HFSM do not have common unobservable events. In this paper, a recursive algorithm is provided for diagnosis computations (and more generally, observer design) in multilevel HFSMs. Some of the procedures provided in this work for diagnosis computations are equivalent to those proposed in the authors' previous work. However these computations have been reformulated in terms of an updator function so that they lend themselves better for extension to a recursive algorithm for the more general case of multi-level HFSMs.
In the paper the method of automated cells tracking in the sequence of images is presented. The method starts with a sequence of images processing by the use of an adaptive threshold operator. Then the cells are detec...
详细信息
暂无评论