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When an actuator fails, chaos or calamity can often ensue.

It is because the actuator is the final step in the control chain, when the control system’s instructions are made physically real that failure can be so important and hard to compensate for. When the nature or location of the failure is unknown, the offsetting of consequent system uncertainties becomes even more awkward.

Adaptive Control of Systems with Actuator Failures centers on counteracting situations in which unknown control inputs become indeterminately unresponsive over an uncertain period of time by adapting the responses of remaining functional actuators. Both "lock-in-place" and varying-value failures are dealt with. The results presented demonstrate:

• the existence of nominal plant-model matching controller structures with associated matching conditions for all possible failure patterns;

• the choice of a desirable adaptive controller structure;

• derivation of novel error models in the presence of failures;

• the design of adaptive laws allowing controllers to respond to combinations of uncertainties stemming from activator failures and system parameters.

Adaptive Control of Systems with Actuator Failures will be of significance to control engineers generally and especially to both academics and industrial practitioners working on safety-critical systems or those in which full-blown fault identification and diagnosis is either too time consuming or too expensive.




When an actuator fails, chaos or calamity can often ensue.

It is because the actuator is the final step in the control chain, when the control system’s instructions are made physically real that failure can be so important and hard to compensate for. When the nature or location of the failure is unknown, the offsetting of consequent system uncertainties becomes even more awkward.

Adaptive Control of Systems with Actuator Failures centers on counteracting situations in which unknown control inputs become indeterminately unresponsive over an uncertain period of time by adapting the responses of remaining functional actuators. Both "lock-in-place" and varying-value failures are dealt with. The results presented demonstrate:

• the existence of nominal plant-model matching controller structures with associated matching conditions for all possible failure patterns;

• the choice of a desirable adaptive controller structure;

• derivation of novel error models in the presence of failures;

• the design of adaptive laws allowing controllers to respond to combinations of uncertainties stemming from activator failures and system parameters.

Adaptive Control of Systems with Actuator Failures will be of significance to control engineers generally and especially to both academics and industrial practitioners working on safety-critical systems or those in which full-blown fault identification and diagnosis is either too time consuming or too expensive.




When an actuator fails, chaos or calamity can often ensue.

It is because the actuator is the final step in the control chain, when the control system’s instructions are made physically real that failure can be so important and hard to compensate for. When the nature or location of the failure is unknown, the offsetting of consequent system uncertainties becomes even more awkward.

Adaptive Control of Systems with Actuator Failures centers on counteracting situations in which unknown control inputs become indeterminately unresponsive over an uncertain period of time by adapting the responses of remaining functional actuators. Both "lock-in-place" and varying-value failures are dealt with. The results presented demonstrate:

• the existence of nominal plant-model matching controller structures with associated matching conditions for all possible failure patterns;

• the choice of a desirable adaptive controller structure;

• derivation of novel error models in the presence of failures;

• the design of adaptive laws allowing controllers to respond to combinations of uncertainties stemming from activator failures and system parameters.

Adaptive Control of Systems with Actuator Failures will be of significance to control engineers generally and especially to both academics and industrial practitioners working on safety-critical systems or those in which full-blown fault identification and diagnosis is either too time consuming or too expensive.


Content:
Front Matter....Pages i-xvi
Introduction....Pages 1-14
State Feedback Designs for State Tracking....Pages 15-54
State Feedback Designs for Output Tracking....Pages 55-84
Output Feedback Designs for Output Tracking....Pages 85-102
Designs for Multivariable Systems....Pages 103-122
Pole Placement Designs....Pages 123-136
Designs for Linearized Aircraft Models....Pages 137-162
Robust Designs for Discrete-Time Systems....Pages 163-176
Failure Compensation for Nonlinear Systems....Pages 177-194
State Feedback Designs for Nonlinear Systems....Pages 195-232
Nonlinear Output Feedback Designs....Pages 233-264
Conclusions and Research Topics....Pages 265-268
Back Matter....Pages 269-299


When an actuator fails, chaos or calamity can often ensue.

It is because the actuator is the final step in the control chain, when the control system’s instructions are made physically real that failure can be so important and hard to compensate for. When the nature or location of the failure is unknown, the offsetting of consequent system uncertainties becomes even more awkward.

Adaptive Control of Systems with Actuator Failures centers on counteracting situations in which unknown control inputs become indeterminately unresponsive over an uncertain period of time by adapting the responses of remaining functional actuators. Both "lock-in-place" and varying-value failures are dealt with. The results presented demonstrate:

• the existence of nominal plant-model matching controller structures with associated matching conditions for all possible failure patterns;

• the choice of a desirable adaptive controller structure;

• derivation of novel error models in the presence of failures;

• the design of adaptive laws allowing controllers to respond to combinations of uncertainties stemming from activator failures and system parameters.

Adaptive Control of Systems with Actuator Failures will be of significance to control engineers generally and especially to both academics and industrial practitioners working on safety-critical systems or those in which full-blown fault identification and diagnosis is either too time consuming or too expensive.


Content:
Front Matter....Pages i-xvi
Introduction....Pages 1-14
State Feedback Designs for State Tracking....Pages 15-54
State Feedback Designs for Output Tracking....Pages 55-84
Output Feedback Designs for Output Tracking....Pages 85-102
Designs for Multivariable Systems....Pages 103-122
Pole Placement Designs....Pages 123-136
Designs for Linearized Aircraft Models....Pages 137-162
Robust Designs for Discrete-Time Systems....Pages 163-176
Failure Compensation for Nonlinear Systems....Pages 177-194
State Feedback Designs for Nonlinear Systems....Pages 195-232
Nonlinear Output Feedback Designs....Pages 233-264
Conclusions and Research Topics....Pages 265-268
Back Matter....Pages 269-299
....
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