An adaptive inferential measurement framework for control and automation systems has been proposed in the paper and tested on simulated traffic surveillance data. The use of the framework enables making inferences rel...
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ISBN:
(纸本)9781479945306
An adaptive inferential measurement framework for control and automation systems has been proposed in the paper and tested on simulated traffic surveillance data. The use of the framework enables making inferences related to the presence of anomalies in the surveillance data with the help of statistical, computational and clustering analysis. Moreover, the performance of the ensemble of these tools can be dynamically tuned by a computationalintelligence technique. The experimental results have demonstrated that the framework is generally applicable to various problem domains and reasonable performance is achieved in terms of inferential accuracy. computationalintelligence can also be effectively utilised for identifying the main contributing features in detecting anomalous data points within the surveillance data.
A sliding mode control algorithm combined with a fuzzy control scheme is developed for the trajectory control of a robot manipulator. The scheme is used to compensate for the influence of unmodeled dynamics and to red...
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ISBN:
(纸本)0818681381
A sliding mode control algorithm combined with a fuzzy control scheme is developed for the trajectory control of a robot manipulator. The scheme is used to compensate for the influence of unmodeled dynamics and to reduce chattering. Simulation results show that the proposed controller gives good system performance in the face of uncertain system parameters and external disturbances.
This study constructs an adaptive moving-target tracking control (AMTC) scheme via a dynamic Petri recurrent-fuzzy-neural-network (DPRFNN) for a vision-based mobile robot with a tilt camera. First, a continuously adap...
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ISBN:
(纸本)9781467358934
This study constructs an adaptive moving-target tracking control (AMTC) scheme via a dynamic Petri recurrent-fuzzy-neural-network (DPRFNN) for a vision-based mobile robot with a tilt camera. First, a continuously adaptive mean shift (CAMS) algorithm is adopted for the moving-object detection, and a model-based conventional sliding-mode control (CSMC) strategy is introduced. Moreover, it further designs a model-free AMTC scheme with a DPRFNN for imitating the CSMC strategy for relaxing the control design dependent on detailed system information and alleviating chattering phenomena caused by the inappropriate selection of uncertainty bounds. In addition, a switching path-planning scheme plus the AMTC is designed without detailed environmental information, large memory size and heavy computation burden for the obstacle avoidance of a mobile robot. Furthermore, numerical simulations are given to verify the effectiveness of the proposed AMTC scheme under different target tracking, and its superiority is indicated in comparison with the CSMC system.
This paper proposes output feedback control for uncertain T-S fuzzy systems with state and input delays. First, a fuzzy observer-based dynamic control method is introduced for stabilizing uncertain time-delay fuzzy sy...
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ISBN:
(纸本)9781467358934
This paper proposes output feedback control for uncertain T-S fuzzy systems with state and input delays. First, a fuzzy observer-based dynamic control method is introduced for stabilizing uncertain time-delay fuzzy systems. Based on the dynamic control scheme, the input delay is decoupled with the system states, so that the stability condition becomes simpler. Then, the robust stability conditions are derived and converted to solving linear matrix inequality problems (LMIPs) by a novel Lyapunov function. In turn, the controller and observer gains are able to be separately designed even in the presence of modeling uncertainty, state delay, and input delay. In comparison with current literatures, the controlled states and state estimation errors are guaranteed to be asymptotically stable with more relaxed conditions on the time delays. Numerical simulation and comparison results demonstrate the expected performance.
This work deals with a new approach of loop-shaping H-infinity synthesis based on the Particle Swarm Optimization (PSO) algorithm. Indeed, such stochastic algorithms are interesting to solve problems based on complex ...
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ISBN:
(纸本)9781467358934
This work deals with a new approach of loop-shaping H-infinity synthesis based on the Particle Swarm Optimization (PSO) algorithm. Indeed, such stochastic algorithms are interesting to solve problems based on complex industrial specifications and so seem to be particularly well suited to optimal robust controller synthesis. In this work we investigate the optimal weight tuning along a fixed order controller computation without any structural assumption on the searched filters except of course their order. The absence of any structural assumption is important to avoid affecting the quality of the solution towards a complex specification and allows us to reduce the synthesis problem to a simple time domain one with static scalings in place of frequency weights. Using a version of PSO well adapted for high dimensional problems, we succeed in computing a fixed-order controller for complex industrial specifications toward a generic non constraint fitness with quite reasonable computing time.
The concept and theoretical derivation of a new, continuous controller for contact transition tasks was presented in an early paper [25]. The design of this new controller was derived based on an analysis of impulsive...
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ISBN:
(纸本)0818681381
The concept and theoretical derivation of a new, continuous controller for contact transition tasks was presented in an early paper [25]. The design of this new controller was derived based on an analysis of impulsive constraints. Unlike other control methods that require switching control strategies before and after contacts, this design is able to accomplish contact transition tasks with a single control strategy, avoiding control discontinuities. In this paper, the proposed controller design is further developed, and results from computer simulation and physical experiments are presented to demonstrate the feasibility and effectiveness of the controller design.
The automation of control systems of substations in the energy industry uses a variety of specialized standards, technologies and protocols. Among the most frequently used belong MODBUS, IEC60870, DNP3 and IEC61850 pr...
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ISBN:
(纸本)9781479901944;9781479901975
The automation of control systems of substations in the energy industry uses a variety of specialized standards, technologies and protocols. Among the most frequently used belong MODBUS, IEC60870, DNP3 and IEC61850 protocols. The present paper analyses and compares approaches to data communication among the above mentioned protocols with the main focus on modern standard IEC61850. The paper was created on the basis of experience while implementing data communications for CEPS a.s., the national distributor in the Czech Republic.
This paper deals with the design and the simulation of decentralized artificial intelligent systems (multiagent systems) in the context of distributed automation and decentralized control systems. It presents an origi...
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Nowadays in road transport lower fuel consumption, higher traffic safety and reduced environmental impact are in the focus of the developments. To reach these future objectives it is necessary to increase the level of...
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ISBN:
(纸本)9781728156255
Nowadays in road transport lower fuel consumption, higher traffic safety and reduced environmental impact are in the focus of the developments. To reach these future objectives it is necessary to increase the level of automation of road vehicles. Driving a road vehicle by a software is a complex controlling task. This paper presents a basic longitudinal motion controller, which uses a Linear-Quadratic (LQ) regulator. This controller is widespread in the controlling of MIMO systems, because it provides an interactive control, optimized for certain elements of the state vector. The aim of this work is to create an operative longitudinal vehicle control based on an LQ regulator and use it in a demonstration vehicle.
Structures with fixed-base will produce high accelerations and inter-storey drifts and move laterally during earthquake. The presence of base isolation devices between ground and the structure, reduces the structural ...
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ISBN:
(纸本)9781467358934
Structures with fixed-base will produce high accelerations and inter-storey drifts and move laterally during earthquake. The presence of base isolation devices between ground and the structure, reduces the structural vibrations. To maintain the seismic response of structures within safety, service and comfort limits, the combination of base isolators and feedback controllers have been proposed in recent years. This paper proposes a discrete direct adaptive extreme learning machine (ELM) controller for the active control of non linear base isolated building with hysteretic isolation system. The controller is constructed based on a single hidden layer feed forward network and the parameters of the network are adapted using extreme learning machine (ELM) algorithm. In this work, different from the original ELM algorithm the output weights of the network are updated using Lyapunov stability approach, to guarantee the stability of the structure. The performance of the proposed controller is verified on a non-linear three dimensional benchmark base-isolated structure by exciting the structure with three earthquake samples. The result shows that the proposed controller is effective in reducing the seismic responses of the isolation members as well as the superstructure.
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