...Kenneth R. Muske; Hashem Ashrafiuon; Sergey Nersesov; Mehdi Nikkhah This paper presents an optimal sliding mode cascade control for stabilization of a class of underactuated nonlinear mechanical systems. A discrete-time, nonlinear model predictive control structure is used to optimally select...

... extended as a d-iteration-ahead adaptive iterative learning predictive control to address for multiple inputs multiple outputs (MIMO) nonlinear systems with unknown input gains. A major distinct feature of the presented methods is that the global stability result is obtained through Lyapunov analysis...

... 10 08 2011 22 08 2011 02 12 2011 02 12 2011 asymptotic stability control system synthesis delays feedback Lyapunov methods nonlinear control systems predictive control time-varying systems Ignoring the effect of a time-varying state or input delay can have...

...) based control of the output mass flow rate of the valve. electropneumatic control equipment greedy algorithms machine vector control on-off control predictive control servomechanisms solenoids valves 10 05 2010 10 02 2011 05 08 2011 05 08 2011 2011 American...

...Bo Yu; Yang Shi; Ji Huang This paper is concerned with the design of networked control systems using the modified generalized predictive control (M-GPC) method. Both sensor-to-controller (S-C) and controller-to-actuator (C-A) network-induced delays are modeled by two Markov chains. M-GPC uses...

... feedback controller plus an additional online optimized variable. Both the state feedback approach and the observer based approach are given. The obtained predictive controller guarantees constraint fulfillment and asymptotic state regulation in the mean square sense for all admissible disturbances...

...Ming-Feng Hsieh; Junmin Wang; Marcello Canova This paper describes a two-level nonlinear model predictive control (NMPC) scheme for diesel engine lean NO x trap (LNT) regeneration control. Based on the physical insights into the LNT operational characteristics, a two-level NMPC architecture...

... time systems feedback feedforward matrix algebra predictive control Riccati equations 22 08 2007 18 06 2009 21 04 2010 21 04 2010 A discrete-time FIR transfer function can be realized using a shift-register to update the state, and a gain array to compute the output...

...-speed and lightweight robots. In this paper, a constrained model-based predictive control is employed for controlling both position and vibrations in a mechanism with high link flexibility. This kind of controller has so far been used mainly to control slow processes, but here simulation results...

.... This paper provides the conditions that the POD can be valid, and be an interpretation of its underlying structure. 18 03 2008 04 02 2009 20 05 2009 control system analysis decision making Markov processes optimal control predictive control state estimation New...

...Rene Roy; Philippe Micheau; Paul Bourassa The originality of this paper is the evaluation of intermittent control as a viable candidate to represent an automobile driver in a path tracking scenario. The control algorithm is based on general predictive control where the road curvature is considered...

... conducted to assess control requirements for the JIMO mission. A nonlinear dynamic model of JIMO is derived, which includes rigid body as well as flexible body dynamics. This paper presents a novel hybrid control strategy, which combines feedback linearization with generalized predictive control methodology...

...Douglas Ollerenshaw; Mark Costello Launch uncertainties in uncontrolled direct fire projectiles can lead to significant impact point dispersion, even at relatively short range. A model predictive control scheme for direct fire projectiles is investigated to reduce impact point dispersion...

...G. Colin; Y. Chamaillard; G. Bloch; A. Charlet This paper describes a real-time control method for non-linear systems based on model predictive control. The model used for the prediction is a neural network because of its ability to represent non-linear systems, its ability to be differentiated...

... of the optimal predictive control, assuming full knowledge of the disturbance. This result is very interesting since it provides a lower-bound to semi-active suspension performances. The second goal of the paper is to develop a control algorithm which is able to mix the SH and ADD performances. This algorithm...

...Andrzej W. Ordys; Masayoshi Tomizuka; Michael J. Grimble The paper discusses state-space generalized predictive control and the preview control algorithms. The optimization procedure used in the derivation of predictive control algorithms is considered. The performance index associated...

.... The proposed predictive control methodology is demonstrated on a hot gas pressurization system that tracks a desired pressure trajectory via an on/off solenoid valve. 02 09 2003 07 03 2006 predictive control delay systems time-varying systems linear systems suboptimal control dynamics...

... inside a modified nonlinear model predictive control framework for the slow subsystem. This framework tries to explicitly take the computational delay into account. The computation time required for this technique is encouraging from a real-world implementation perspective. Dynamically stabilized...

... for the generation of appropriate trajectories, with the design of one-step predictive control laws, and on controller discretization by means of an averaging-like method. In the paper we demonstrate that the causality problem that might arise in the implementation is avoided by using an estimator based on numerical...

... 28 09 2005 Internet adaptive control predictive control force feedback recursive estimation least squares approximations delays telerobotics Remote teleoperation has been used extensively in the world for decades. Current and possible future applications include telesurgery...