Repetitive processes are a distinct class of 2D systems (*** propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing te...
详细信息
Repetitive processes are a distinct class of 2D systems (*** propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give new results on the design of physically based control laws and, in particular, the first results on a mixed H 2 /H ∞ approach and on H 2 control in the presence of uncertainty in the process model.
In this paper a robust adaptive pole placement method for a class of linear parameter varying (LPV) system based on input-output description is constructed after the LPV system model, including its un-modeled error mo...
详细信息
In this paper a robust adaptive pole placement method for a class of linear parameter varying (LPV) system based on input-output description is constructed after the LPV system model, including its un-modeled error model term, is presented. The recursive least square estimation algorithm with dead zone is applied for the parameter estimation. The robust stability of closed-loop system is analyzed and the robust bound is derived. One simulation example illustrates the effectiveness of the control algorithm and demonstrates that the adaptive control based on LPV model can achieve better performance than the controller based on linear time varying (LTV) model
Repetitive processes are a distinct class of two-dimensional systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direc...
详细信息
Repetitive processes are a distinct class of two-dimensional systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or two-dimensional (2D) systems theory. Here we give new results on the design of physically based control laws using an H 2 setting. These results are for the sub-class of so-called differential linear repetitive processes which arise in applications areas such as iterative learning control.
Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension o...
详细信息
Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or 2D systems theory. Here we give the first results on how feedback/feedforward control action can be used to influence one form of controllability for processes with discrete dynamics.
Consequent to previously published theoretical work by Marshall, Broucke, and Francis, this paper summarizes the apparatus and results of multi-vehicle coordination experiments conducted at the University of Toronto I...
详细信息
Although structural constraints such as model order and time delay have been incorporated in the continuous time system identification since its origin, the constraints on the estimated model parameters were rarely en...
详细信息
Although structural constraints such as model order and time delay have been incorporated in the continuous time system identification since its origin, the constraints on the estimated model parameters were rarely enforced. This paper proposes a continuous time system identification approach with constraints. It shows that by incorporating physical parameter information known a priori as hard constraints, the traditional parameter estimation schemes are modified to minimize a quadratic cost function with linear inequality constraints. Using the structure of Frequency Sampling Filters as the vehicle, the paper shows that the constraints can be readily imposed on continuous time frequency response estimation and step response estimation. In particular, a priori knowledge in both time-domain and frequency domain is utilized simultaneously as the constraints for the optimal parameter solution. A Monte-Carlo simulation study with 100 noise realization is used to demonstrate the improvement of the estimation results in terms of continuous time frequency response and continuous time step response.
An improved reinforcement learning algorithm is proposed in this paper. This algorithm is based on linear programming method for finding the best-response policy. A pursuit example is tested and the results show that ...
详细信息
An improved reinforcement learning algorithm is proposed in this paper. This algorithm is based on linear programming method for finding the best-response policy. A pursuit example is tested and the results show that this algorithm has some properties, such as easy computation, simple operation procedure and can guarantee a good learning convergence.
The growing complexity of today's embedded real-time systems demands new methods and tools in order to manage the problems of design, analysis, integration and validation of complex systems. This paper describes a...
详细信息
The growing complexity of today's embedded real-time systems demands new methods and tools in order to manage the problems of design, analysis, integration and validation of complex systems. This paper describes an object-oriented platform-based design process for real-time embedded systems. The proposed approach promotes a smooth transition from high-level UML specification to implementation, which is composed by hardware and software components. The transition from higher to lower abstraction levels is facilitated by the use of an OO realtime API, whose underlying facilities can be optimized according to the application needs and selected platform. An integrated toolset is used to support the intermediate steps of the design process. In order to illustrate the proposed approach and related toolset the design of an embedded real-time automation system for an "intelligent" wheelchair is presented.
This paper discusses a design flow for multithread object-oriented real-time applications, running on top of an embedded, platform-based, customizable Java processor, which is prototyped using affordable FPGAs. The pr...
详细信息
This paper discusses a design flow for multithread object-oriented real-time applications, running on top of an embedded, platform-based, customizable Java processor, which is prototyped using affordable FPGAs. The proposed approach enforces design space exploration activities, taking into account aspects like temporal behavior, memory footprint, and power/energy consumption. A case study containing a task scheduler implementation as both software and hardware modules is presented. While both implementations are compatible with the developed program from an interface point of view, they lead to different timing and footprint requirements. Their evaluation in terms of memory occupation and number of FPGA logic cells is presented.
In this paper, a novel wireless load-sharing controller for parallel connected UPS inverters is proposed. As opposed to the conventional droop method, the proposed method achieves stable steady-state frequency and amp...
详细信息
In this paper, a novel wireless load-sharing controller for parallel connected UPS inverters is proposed. As opposed to the conventional droop method, the proposed method achieves stable steady-state frequency and amplitude. The paper explorers the output impedance of the UPS inverters, and adaptive virtual output impedance is proposed in order to reduce its line impedance impact. Experimental results are presented from two 6 kVA UPS inverters controlled by TMS320LF2407A DSP boards, showing the feasibility of the proposed approach
暂无评论